[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
Unleashing the potential of AI for pathology: challenges and recommendations
Computational pathology is currently witnessing a surge in the development of AI
techniques, offering promise for achieving breakthroughs and significantly impacting the …
techniques, offering promise for achieving breakthroughs and significantly impacting the …
[PDF][PDF] Standard techniques for formalin-fixed paraffin-embedded tissue: a pathologist's perspective.
HB Al-Sabawy, AM Rahawy, SS Al-Mahmood - 2021 - iasj.net
Histopathology considered as an essential keystone to understanding diseases on a cellular
level, without examining affected tissues and cells; will lack the accurate diagnosis. The …
level, without examining affected tissues and cells; will lack the accurate diagnosis. The …
Histopathological transfer learning for acute lymphoblastic leukemia detection
The detection of Acute Lymphoblastic (or Lymphocytic) Leukemia (ALL) is being
increasingly performed with the help of Computer Aided Diagnosis (CAD) systems based on …
increasingly performed with the help of Computer Aided Diagnosis (CAD) systems based on …
Whole slide image quality in digital pathology: review and perspectives
R Brixtel, S Bougleux, O Lézoray, Y Caillot… - IEEE …, 2022 - ieeexplore.ieee.org
With the advent of whole slide image (WSI) scanners, pathology is undergoing a digital
revolution. Simultaneously, with the development of image analysis algorithms based on …
revolution. Simultaneously, with the development of image analysis algorithms based on …
[HTML][HTML] Multimodal analysis methods in predictive biomedicine
For medicine to fulfill its promise of personalized treatments based on a better
understanding of disease biology, computational and statistical tools must exist to analyze …
understanding of disease biology, computational and statistical tools must exist to analyze …
DL4ALL: Multi-task cross-dataset transfer learning for Acute Lymphoblastic Leukemia detection
Methods for the detection of Acute Lymphoblastic (or Lymphocytic) Leukemia (ALL) are
increasingly considering Deep Learning (DL) due to its high accuracy in several fields …
increasingly considering Deep Learning (DL) due to its high accuracy in several fields …
Histokt: Cross knowledge transfer in computational pathology
The lack of well-annotated datasets in computational pathology (CPath) obstructs the
application of deep learning techniques for classifying medical images. Many CPath …
application of deep learning techniques for classifying medical images. Many CPath …
Towards launching AI algorithms for cellular pathology into clinical & pharmaceutical orbits
Computational Pathology (CPath) is an emerging field concerned with the study of tissue
pathology via computational algorithms for the processing and analysis of digitized high …
pathology via computational algorithms for the processing and analysis of digitized high …
Probeable darts with application to computational pathology
AI technology has made remarkable achievements in computational pathology (CPath),
especially with the help of deep neural networks. However, the network performance is …
especially with the help of deep neural networks. However, the network performance is …