Transforming diagnostics: The implementation of digital pathology in clinical laboratories
C Bruce, I Prassas, M Mokhtar, B Clarke… - …, 2024 - Wiley Online Library
Digital pathology (DP) has emerged as a cutting‐edge technology that promises to
revolutionise diagnostics in clinical laboratories. This perspective article explores the …
revolutionise diagnostics in clinical laboratories. This perspective article explores the …
Factors associated with interobserver variation amongst pathologists in the diagnosis of endometrial hyperplasia: a systematic review
CA McCoy, HG Coleman, CM McShane… - Plos one, 2024 - journals.plos.org
Objective Reproducible diagnoses of endometrial hyperplasia (EH) remains challenging
and has potential implications for patient management. This systematic review aimed to …
and has potential implications for patient management. This systematic review aimed to …
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 …
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 …
crucial role in improving patient outcomes. Ki-67 is a biomarker commonly used for …
On Validation of Search & Retrieval of Tissue Images in Digital Pathology
HR Tizhoosh - arXiv preprint arXiv:2408.01570, 2024 - arxiv.org
Medical images play a crucial role in modern healthcare by providing vital information for
diagnosis, treatment planning, and disease monitoring. Fields such as radiology and …
diagnosis, treatment planning, and disease monitoring. Fields such as radiology and …
Model for detecting metastatic deposits in lymph nodes of colorectal carcinoma on digital/non-WSI images
Introduction Colorectal cancer (CRC) constitutes around 10% of global cancer diagnoses
and death due to cancer. Treatment involves the surgical resection of the tumor and regional …
and death due to cancer. Treatment involves the surgical resection of the tumor and regional …
Use of Novel Open-Source Deep Learning Platform for Quantification of Ki-67 in Neuroendocrine Tumors–Analytical Validation
T Zehra, M Shams, R Ali, A Jafri… - … Journal of General …, 2023 - Taylor & Francis
Background Neuroendocrine tumors (NETs) represent a diverse group of neoplasms that
arise from neuroendocrine cells, with Ki-67 immunostaining serving as a crucial biomarker …
arise from neuroendocrine cells, with Ki-67 immunostaining serving as a crucial biomarker …
TriMod Fusion for Multi-Modal Lung Tumor Diagnosis
V Kumar, U Lakhina, P Singh… - 2024 International …, 2024 - ieeexplore.ieee.org
Lung cancer (LC) currently has the highest mortality rate of any medical diagnosis,
underscoring the urgent need for improved detection techniques. This study highlights the …
underscoring the urgent need for improved detection techniques. This study highlights the …
Evaluation of ChatGPT's Usefulness and Accuracy in Diagnostic Surgical Pathology.
V Guastafierro, DN Corbitt, A Bressan, B Fernandes… - medRxiv, 2024 - medrxiv.org
ChatGPT is an artificial intelligence capable of processing and generating human-like
language. ChatGPT's role within clinical patient care and medical education has been …
language. ChatGPT's role within clinical patient care and medical education has been …
Requirements and Challenges to use Explainable Artificial Intelligence in Histopathology: A Rapid Review
JC Miguel, C Grèvisse, A Sardella… - 2024 IEEE 12th …, 2024 - ieeexplore.ieee.org
The number of professional pathologists is not high in contrast with the total population, and,
worldwide, the cases of cancer have a tendency to rise each year. In the face of this, the …
worldwide, the cases of cancer have a tendency to rise each year. In the face of this, the …