Rizwan Ali Naqvi
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View article: Optimizing digital histologic colorectal cancer detection using MobileNet-based transfer learning
Optimizing digital histologic colorectal cancer detection using MobileNet-based transfer learning Open
Purpose: Colorectal cancer (CRC) is a major global health challenge, with an increasing incidence among younger populations. However, traditional screening methods lack comprehensiveness. The proposed work aimed to develop and evaluate a l…
View article: ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases
ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases Open
Ocular disease (OD) represents a complex medical condition affecting humans. OD diagnosis is a challenging process in the current medical system, and blindness may occur if the disease is not detected at its initial phase. Recent studies s…
View article: Illuminating Darkness: Learning to Enhance Low-light Images In-the-Wild
Illuminating Darkness: Learning to Enhance Low-light Images In-the-Wild Open
Single-shot low-light image enhancement (SLLIE) remains challenging due to the limited availability of diverse, real-world paired datasets. To bridge this gap, we introduce the Low-Light Smartphone Dataset (LSD), a large-scale, high-resolu…
View article: Corrections to “Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction”
Corrections to “Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction” Open
View article: KOC_Net: Impact of the Synthetic Minority Over-Sampling Technique with Deep Learning Models for Classification of Knee Osteoarthritis Using Kellgren–Lawrence X-Ray Grade
KOC_Net: Impact of the Synthetic Minority Over-Sampling Technique with Deep Learning Models for Classification of Knee Osteoarthritis Using Kellgren–Lawrence X-Ray Grade Open
One of the most common diseases afflicting humans is knee osteoarthritis (KOA). KOA occurs when the knee joint cartilage breaks down, and knee bones start rubbing together. The diagnosis of KOA is a lengthy process, and missed diagnosis ca…
View article: Transformative Noise Reduction: Leveraging a Transformer-Based Deep Network for Medical Image Denoising
Transformative Noise Reduction: Leveraging a Transformer-Based Deep Network for Medical Image Denoising Open
Medical image denoising has numerous real-world applications. Despite their widespread use, existing medical image denoising methods fail to address complex noise patterns and typically generate artifacts in numerous cases. This paper prop…
View article: Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey
Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey Open
Radiologists encounter significant challenges when segmenting and determining brain tumors in patients because this information assists in treatment planning. The utilization of artificial intelligence (AI), especially deep learning (DL), …
View article: Corn leaf disease: insightful diagnosis using VGG16 empowered by explainable AI
Corn leaf disease: insightful diagnosis using VGG16 empowered by explainable AI Open
The agricultural sector is pivotal to food security and economic stability worldwide. Corn holds particular significance in the global food industry, especially in developing countries where agriculture is a cornerstone of the economy. How…
View article: SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images Open
The medical sciences are facing a major problem with the auto-detection of disease due to the fast growth in population density. Intelligent systems assist medical professionals in early disease detection and also help to provide consisten…
View article: Two-Stage Deep Denoising With Self-Guided Noise Attention for Multimodal Medical Images
Two-Stage Deep Denoising With Self-Guided Noise Attention for Multimodal Medical Images Open
Medical image denoising is considered among the most challenging vision tasks. Despite the real-world implications, existing denoising methods have notable drawbacks as they often generate visual artifacts when applied to heterogeneous med…
View article: Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations
Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations Open
Accurate and rapid plant disease detection is critical for enhancing long-term agricultural yield. Disease infection poses the most significant challenge in crop production, potentially leading to economic losses. Viruses, fungi, bacteria,…
View article: Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction
Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction Open
In the development of image forensics, detection of Copy-Move Forgery (CMF) has become a major challenge due to the proliferation of image forgery techniques. The CMF is widely utilized to alter the content of the original image to spread …
View article: Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images
Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images Open
Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal (GI) tract to be performed without any discomfort. Despite this, several characteristics, including efficacy, tolerance, safety, and performance, make…
View article: Artistic Style Recognition: Combining Deep and Shallow Neural Networks for Painting Classification
Artistic Style Recognition: Combining Deep and Shallow Neural Networks for Painting Classification Open
This study’s main goal is to create a useful software application for finding and classifying fine art photos in museums and art galleries. There is an increasing need for tools to swiftly analyze and arrange art collections based on their…
View article: Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study Open
Skin cancer is considered a dangerous type of cancer with a high global mortality rate. Manual skin cancer diagnosis is a challenging and time-consuming method due to the complexity of the disease. Recently, deep learning and transfer lear…
View article: Deep Learning-Based Classification of Abrasion and Ischemic Diabetic Foot Sores Using Camera-Captured Images
Deep Learning-Based Classification of Abrasion and Ischemic Diabetic Foot Sores Using Camera-Captured Images Open
Diabetic foot sores (DFS) are serious diabetic complications. The patient’s weakened neurological system damages the tissues of the foot’s skin, which results in amputation. This study aims to validate and deploy a deep learning-based syst…
View article: A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema
A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema Open
Diabetic macular edema (DME) is a condition of retinal swelling due to the accumulation of leaked plasma in the extracellular space in the retina, known as the macula. DME is a chronic progressive retinal disorder that likely results in pe…
View article: Editorial: Optics and machine vision for marine observation
Editorial: Optics and machine vision for marine observation Open
EDITORIAL article Front. Mar. Sci., 14 August 2023Sec. Ocean Observation Volume 10 - 2023 | https://doi.org/10.3389/fmars.2023.1256183
View article: Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application
Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application Open
The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particula…
View article: Road Feature Detection for Advance Driver Assistance System Using Deep Learning
Road Feature Detection for Advance Driver Assistance System Using Deep Learning Open
Hundreds of people are injured or killed in road accidents. These accidents are caused by several intrinsic and extrinsic factors, including the attentiveness of the driver towards the road and its associated features. These features inclu…
View article: Multi-classification deep neural networks for identification of fish species using camera captured images
Multi-classification deep neural networks for identification of fish species using camera captured images Open
Regular monitoring of the number of various fish species in a variety of habitats is essential for marine conservation efforts and marine biology research. To address the shortcomings of existing manual underwater video fish sampling metho…
View article: Assisting the Human Embryo Viability Assessment by Deep Learning for In Vitro Fertilization
Assisting the Human Embryo Viability Assessment by Deep Learning for In Vitro Fertilization Open
The increasing global infertility rate is a matter of significant concern. In vitro fertilization (IVF) significantly minimizes infertility by providing an alternative clinical means of becoming pregnant. The success of IVF mainly depends …
View article: DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images Open
Skin cancer is one of the most lethal kinds of human illness. In the present state of the health care system, skin cancer identification is a time-consuming procedure and if it is not diagnosed initially then it can be threatening to human…
View article: DarkDeblur: Learning single-shot image deblurring in low-light condition
DarkDeblur: Learning single-shot image deblurring in low-light condition Open
View article: Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans
Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans Open
Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy must be employed to isolate COVID-19. When it comes to determining the identity of COVID-19, one of the most significant obstacles that researchers must…
View article: Feature preserving mesh network for semantic segmentation of retinal vasculature to support ophthalmic disease analysis
Feature preserving mesh network for semantic segmentation of retinal vasculature to support ophthalmic disease analysis Open
Introduction Ophthalmic diseases are approaching an alarming count across the globe. Typically, ophthalmologists depend on manual methods for the analysis of different ophthalmic diseases such as glaucoma, Sickle cell retinopathy (SCR), di…
View article: DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays Open
Coronavirus Disease 2019 (COVID-19) is still a threat to global health and safety, and it is anticipated that deep learning (DL) will be the most effective way of detecting COVID-19 and other chest diseases such as lung cancer (LC), tuberc…
View article: Assisting Glaucoma Screening Process Using Feature Excitation and Information Aggregation Techniques in Retinal Fundus Images
Assisting Glaucoma Screening Process Using Feature Excitation and Information Aggregation Techniques in Retinal Fundus Images Open
The rapidly increasing trend of retinal diseases needs serious attention, worldwide. Glaucoma is a critical ophthalmic disease that can cause permanent vision impairment. Typically, ophthalmologists diagnose glaucoma using manual assessmen…
View article: Automated Brain Hemorrhage Classification and Volume Analysis
Automated Brain Hemorrhage Classification and Volume Analysis Open
Brain hemorrhage is a serious and life-threatening condition. It can cause permanent and lifelong disability even when it is not fatal. The word hemorrhage denotes leakage of blood within the brain and this leakage of blood from capillarie…
View article: Big data and artificial intelligence in ophthalmology - clinical application and future exploration
Big data and artificial intelligence in ophthalmology - clinical application and future exploration Open
it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed.The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge.Front…