Rachana Sathish
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View article: Text Recognition for the Speed Control of the Vehicle
Text Recognition for the Speed Control of the Vehicle Open
An automatic vehicle human-voice-based safety control is proposed to decrease the happening of vehicle accidents due to an eye or hand activities while driving. The design is implemented using an Arduino microcontroller. One of the most im…
View article: Task-driven Prompt Evolution for Foundation Models
Task-driven Prompt Evolution for Foundation Models Open
Promptable foundation models, particularly Segment Anything Model (SAM), have emerged as a promising alternative to the traditional task-specific supervised learning for image segmentation. However, many evaluation studies have found that …
View article: CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection
CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection Open
View article: CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition Open
View article: CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection Open
Formalizing surgical activities as triplets of the used instruments, actions performed, and target anatomies is becoming a gold standard approach for surgical activity modeling. The benefit is that this formalization helps to obtain a more…
View article: Linear Neural Network as a Fast Solver for Dictionary Learning
Linear Neural Network as a Fast Solver for Dictionary Learning Open
Traditional numerical solvers for linear algebra problems such as dictionary learning (DictL) operating on large data face challenges because of super-linear computational complexity and massive memory requirement. This does not make it ea…
View article: Linear Neural Network as a Fast Solver for Dictionary Learning
Linear Neural Network as a Fast Solver for Dictionary Learning Open
Traditional numerical solvers for linear algebra problems such as dictionary learning (DictL) operating on large data face challenges because of super-linear computational complexity and massive memory requirement. This does not make it ea…
View article: Microwave-assisted pyrolysis of cashew nut shell: a review of the process, products, and applications
Microwave-assisted pyrolysis of cashew nut shell: a review of the process, products, and applications Open
Microwave-assisted pyrolysis (MAP) is a promising and environmentally conscious technology for converting residual biomass into valuable products. The unique attributes of cashew nut shells (CNS), often overlooked in the processing industr…
View article: CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition Open
Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works recognize surgical activities at a coarse-grained level, s…
View article: A Fast and Accurate Face Recognition Security System
A Fast and Accurate Face Recognition Security System Open
Using facial recognition technology, provide the best security system with alerts for smart devices such as laptops and PCs. The design descriptions of the various modules involved in automatic face recognition are presented in this paper:…
View article: Palmprint Biometric System using Line based Feature Extraction Methods
Palmprint Biometric System using Line based Feature Extraction Methods Open
Biometrics is the study of estimating human qualities to confirm or recognize the personality of a person. Palmprint is one of the human physiological attributes acquiring consideration among analysts as the mean of security. The Chinese A…
View article: CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation Open
View article: Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss Open
Lung cancer is the most common form of cancer found worldwide with a high mortality rate. Early detection of pulmonary nodules by screening with a low-dose computed tomography (CT) scan is crucial for its effective clinical management. Nod…
View article: Lung Segmentation and Nodule Detection in Computed Tomography Scan using\n a Convolutional Neural Network Trained Adversarially using Turing Test Loss
Lung Segmentation and Nodule Detection in Computed Tomography Scan using\n a Convolutional Neural Network Trained Adversarially using Turing Test Loss Open
Lung cancer is the most common form of cancer found worldwide with a high\nmortality rate. Early detection of pulmonary nodules by screening with a\nlow-dose computed tomography (CT) scan is crucial for its effective clinical\nmanagement. …
View article: Identification of Cervical Pathology using Adversarial Neural Networks
Identification of Cervical Pathology using Adversarial Neural Networks Open
Various screening and diagnostic methods have led to a large reduction of cervical cancer death rates in developed countries. However, cervical cancer is the leading cause of cancer related deaths in women in India and other low and middle…
View article: IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge Open
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss, predominantly affecting the working-age population across the globe. Screening for DR, coupled with timely consultation and treatment, is a globally trusted polic…
View article: Significance of Residual Learning and Boundary Weighted Loss in Ischaemic Stroke Lesion Segmentation
Significance of Residual Learning and Boundary Weighted Loss in Ischaemic Stroke Lesion Segmentation Open
Radiologists use various imaging modalities to aid in different tasks like diagnosis of disease, lesion visualization, surgical planning and prognostic evaluation. Most of these tasks rely on the the accurate delineation of the anatomical …
View article: Adversarially Trained Convolutional Neural Networks for Semantic\n Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic\n Resonance Imaging
Adversarially Trained Convolutional Neural Networks for Semantic\n Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic\n Resonance Imaging Open
Ischaemic stroke is a medical condition caused by occlusion of blood supply\nto the brain tissue thus forming a lesion. A lesion is zoned into a core\nassociated with irreversible necrosis typically located at the center of the\nlesion, wh…
View article: Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging Open
Ischaemic stroke is a medical condition caused by occlusion of blood supply to the brain tissue thus forming a lesion. A lesion is zoned into a core associated with irreversible necrosis typically located at the center of the lesion, while…
View article: Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network Open
Convolutional neural networks (CNN) are generally designed with a heuristic initialization of network architecture and trained for a certain task. This often leads to overparametrization after learning and induces redundancy in the informa…
View article: Induction Motor Control using SVPWM Quasi Z Source Current Fed Inverter
Induction Motor Control using SVPWM Quasi Z Source Current Fed Inverter Open
This paper presents the simulation model for speed control of induction motor using SVPWM Quasi Z source inverter.Here the DC input voltage is boosted by using quasi Z network and the output of the quasi Z source network is applied to the …
View article: Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos Open
Surgical workflow analysis is of importance for understanding onset and persistence of surgical phases and individual tool usage across surgery and in each phase. It is beneficial for clinical quality control and to hospital administrators…
View article: Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy Open
Diabetic retinopathy (DR) is the most common form of diabetic eye disease. Retinopathy can affect all diabetic patients and becomes particularly dangerous, increasing the risk of blindness, if it is left untreated. The success rate of its …
View article: Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network Open
Convolutional neural networks (CNN) are generally designed with a heuristic initialization of network architecture and trained for a certain task. This often leads to overparametrization after learning and induces redundancy in the informa…
View article: Complete Type of Metopism in Adult Human Dry Skull – Anatomical Variation
Complete Type of Metopism in Adult Human Dry Skull – Anatomical Variation Open
We have observed one adult human dry skull with a complete type of metopic suture in frontal bone extending from the nasion to bregma of the skull in the Department of Anatomy, Sree Balaji Dental College and Hospital, Chennai.Metopic sutur…
View article: Unilateral Atrophy Of Right Kidney - A Case Report
Unilateral Atrophy Of Right Kidney - A Case Report Open
Unilateral Atrophy of kidney may be physiological or pathological.During our routine dissection, we came across an adult male cadaver presented with a hypoplasic right kidney whereas left kidney was normal.In the right kidney the capsule w…