Explanipedia

Detection of Schistosoma Eggs Using an AI-Based Deep Learning Model on Urinary Bladder Histopathology Images Open

Akmal Bakar, Talat Zehra, S. Bello · 2025

Deep learning, Mask segmentation, Medical image analysis, Schistosomiasis, YOLO segmentation.

Computer-Aided Diagnosis in Spontaneous Abortion: A Histopathology Dataset and Benchmark for Products of Conception Open

Tahir Mahmood, Zeeshan Ullah, Atif Latif, Binish Arif Sultan, Muhammad Zubair , et al. · 2024

Spontaneous abortion, commonly known as miscarriage, is a significant concern during early pregnancy. Histopathological examination of tissue samples is a widely used method to diagnose and classify tissue phenotypes found in products of c…

Switching Trends in Medical Education: Faculty Perception Open

Tazeen Shah, Talat Zehra, Zareen Irshad, Binish Arif Sultan, Gull Afshan , et al. · 2024

Objective: To determine the level of awareness among faculty members of Sindh Medical College regarding switching trends in medical education from traditional to integrated modular system. Study Design: Qualitative study (Phenomenology). P…

Model for detecting metastatic deposits in lymph nodes of colorectal carcinoma on digital/ non-WSI images Open

Talat Zehra, Sarosh Moeen, Mahin Shams, Muhammad Raza, Amna Khurshid , et al. · 2024

Rethinking Histology Slide Digitization Workflows for Low-Resource Settings Open

Talat Zehra, Joseph P. Marino, Wendy Wang, Grigoriy Frantsuzov, Saad Nadeem · 2024

Histology slide digitization is becoming essential for telepathology (remote consultation), knowledge sharing (education), and using the state-of-the-art artificial intelligence algorithms (augmented/automated end-to-end clinical workflows…

Anxiolytic and Antidepressant Effect of Phaseolus vulgaris on Animal Models Open

Rabia Munawwar, Sana Sarfaraz, Rahila Ikram, Talat Zehra, Humaira Anser , et al. · 2024

An experimental study was conducted using rodents at different doses to evaluate the effect of Phaseolus vulgaris (red beans) on cage crossing, head dip, open field, elevated plus maze, and light and dark apparatus for anxiety and forced s…

Rethinking Histology Slide Digitization Workflows for Low-Resource Settings Open

Talat Zehra, Joseph P. Marino, Wendy Wang, Grigoriy Frantsuzov, Saad Nadeem · 2024

Use of Novel Open-Source Deep Learning Platform for Quantification of Ki-67 in Neuroendocrine Tumors – Analytical Validation Open

Talat Zehra, Mahin Shams, Rabia Ali, Asad Raza Jafri, Amna Khurshid , et al. · 2023

This study showcases the potential of open-source/open-access user-friendly deep learning platforms, such as DeepLIIF, for the quantification of Ki-67 in neuroendocrine tumors. The analytical validation presented here establishes the relia…

Use of a Novel Deep Learning Open-Source Model for Quantification of Ki-67 in Breast Cancer Patients in Pakistan: A Comparative Study between the Manual and Automated Methods Open

Talat Zehra, Nazish Jaffar, Mahin Shams, Qurratulain Chundriger, Arsalan Ahmed , et al. · 2023

Introduction: Breast cancer is the most common cancer in women; its early detection plays a crucial role in improving patient outcomes. Ki-67 is a biomarker commonly used for evaluating the proliferation of cancer cells in breast cancer pa…

Current practice of histopathology in Pakistan: difficulties, challenges, and solutions Open

Talat Zehra, Zubair Ahmed, Mahin Shams · 2023

Histopathology is the gold standard for diagnosis of cancers as well as many non- neoplastic diseases. Pakistan is a country of more than 220 million people and the fifth most populated country of the world. Unfortunately, it has a weak he…

A suggested way forward for adoption of AI-Enabled digital pathology in low resource organizations in the developing world Open

Talat Zehra, Anil V. Parwani, Jamshid Abdul‐Ghafar, Zubair Ahmad · 2023

Ki-67 Quantification in Breast Cancer by Digital Imaging AI Software and its Concordance with Manual Method Open

Talat Zehra, Mahin Shams, Zubair Ahmad, Qurratulain Chundriger, Arsalan Ahmed , et al. · 2023

Artificial intelligence, Algorithms, Breast cancer, Deep learning, Image detection, Ki-67.

FREQUENCY OF UTERINE LEIOMYOMA WITH ITS RELATED RISK FACTORS OBSERVED AT A TERTIARY CARE CENTRE IN KARACHI Open

Talat Zehra, Khadija Bano, Syeda Sakeena Raza, Mahin Shams, Tajwar Fatima , et al. · 2022

Objective: To study the frequency of uterine leiomyoma with its risk factors. Material and Methods: A cross-sectional study was carried out between January 2020 to June 2020 including women who were diagnosed with uterine leiomyomas in the…

A Novel Deep Learning-Based Mitosis Recognition Approach and Dataset for Uterine Leiomyosarcoma Histopathology Open

Talat Zehra, Sharjeel Anjum, Tahir Mahmood, Mahin Shams, Binish Arif Sultan , et al. · 2022

Uterine leiomyosarcoma (ULMS) is the most common sarcoma of the uterus, It is aggressive and has poor prognosis. Its diagnosis is sometimes challenging owing to its resemblance by benign smooth muscle neoplasms of the uterus. Pathologists …

Association of Abnormal Coagulation Tests in Dengue Fever with Clinical Outcomes of The Patients Open

Zareen Irshad, Nazish Jaffar, Talat Zehra, Faiza Zeeshan, Sunila Tashfeen , et al. · 2022

Objective: To assess the coagulation test abnormalities (prothrombin time, activated partial thromboplastin time and fibrin degradation products) in dengue fever patients and its impact on clinical outcomes of the patient. Study Design: C…

Adoption of Digital Pathology in Developing Countries: From Benefits to Challenges Open

Talat Zehra, Asma Shabbir · 2021

Digital pathology and the use of artificial intelligence constitute undisputedly the future of modern pathology. The outcomes and benefits of the whole slide imaging are beyond the scope of traditional microscopy, which the pathologists we…

Dawn of artificial intelligence -Enable digital Pathology in Pakistan-A paradigm shift Open

Talat Zehra, Asma Shaikh, Maheen Shams · 2021

Pathology particularly histopathology is considered to be a busy and challenging field. It is considered as gold standard for the diagnosis and management of patient particularly in cases of tumor. It has been more than twenty years since …

Dawn of artificial intelligence -Enable digital Pathology in Pakistan-A paradigm shift Open

Talat Zehra, Asma Shaikh, Maheen Shams · 2021

Pathology particularly histopathology is considered to be a busy and challenging field. It is considered as gold standard for the diagnosis and management of patient particularly in cases of tumor. It has been more than twenty years since …

Frequency and Spectrum of Non-Malignant Lesions in Abdominal Hysterectomy Specimens Open

Talat Zehra, Syeda Atiya Batool Gardezi, Mahin Shams, Sumaira Zareen, Iram Kehkashan Khurshid , et al. · 2021

Objective: To determine the histological spectrum of non-malignant lesions in abdominal hysterectomy specimens from women of reproductive age group. Study Design and Setting: This was a descriptive cross-sectional study carried out at a pr…

Frequency and Trends of Prostatic Diseases in a Subset of Karachi Population: A Retrospective Study Open

Asma Shabbir, Umaima Tariq Khan, Diya Nisar, Parversh Kumar, Cheena Kumari , et al. · 2021

Background: Prostatic diseases are a leading cause of frequent urinary complaints in elderly males. The most common diseases include prostatitis, benign prostatic hyperplasia, and prostate cancer. This study aimed to determine the frequenc…

A clinico-mycological spectrum of superficial mycoses of scalp in pediatric population Open

Faiza Zeeshan, Fakhur Uddin, Bahram Khan, Talat Zehra, Sadaf Razzak , et al. · 2020

Objective: A clinico-mycological study was conducted to assess the profile of dermatophytes and non-dermatophytes in patients with superficial mycoses of scalp. Methods: This Descriptive cross sectional study was conducted at Department o…

Squamous Cell Carcinoma Kidney in a Patient of Renal Calculi: Rare and Aggressive Variant of Renal Cancer Open

Syed Mehmood Hasan, Talat Zehra, Salma Parween, Sadaf Razzak · 2020

Squamous cell carcinoma (SCC) of kidney is a rare entity. It behaves aggressively in case of kidney. It is usually diagnosed at an advance stage associated with poor outcome. Renal squamous cell carcinoma is usually associated with stones.…

Object Detection in a Cluttered Scene Using SURF for Computer Assisted Histopathology Open

Aqeel Abbas, Talat Zehra, Fu Li · 2016

Computer vision imitates human vision ability to perceive real world.Computer vision has proven its part from autonomous navigation on martin surface to histopathology images recognition.In practice, histopathologists examine microscopic i…

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