[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 …
Application of deep learning in histopathology images of breast cancer: a review
With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …
A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based
detection of mitotic nuclei is a significant overhead and necessitates automation. This work …
detection of mitotic nuclei is a significant overhead and necessitates automation. This work …
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier
Mitotic nuclei estimation in breast tumour samples has a prognostic significance in analysing
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
Prediction of early-stage melanoma recurrence using clinical and histopathologic features
Prognostic analysis for early-stage (stage I/II) melanomas is of paramount importance for
customized surveillance and treatment plans. Since immune checkpoint inhibitors have …
customized surveillance and treatment plans. Since immune checkpoint inhibitors have …
[HTML][HTML] SMDetector: Small mitotic detector in histopathology images using faster R-CNN with dilated convolutions in backbone model
Breast cancer is one of the most common cancer types among women, and it is a deadly
disease caused by the uncontrolled proliferation of cells. Pathologists face a challenging …
disease caused by the uncontrolled proliferation of cells. Pathologists face a challenging …
Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images
Tumor-infiltrating lymphocytes are specialized lymphocytes that can detect and kill
cancerous cells. Their detection poses many challenges due to significant morphological …
cancerous cells. Their detection poses many challenges due to significant morphological …
Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review
Quantifying mitosis in pathological sections is of great significance in the pathological
diagnosis of breast cancer as it is used to evaluate the aggressiveness of the tumor and to …
diagnosis of breast cancer as it is used to evaluate the aggressiveness of the tumor and to …
SmallMitosis: Small size mitotic cells detection in breast histopathology images
T Kausar, M Wang, MA Ashraf, A Kausar - IEEE Access, 2020 - ieeexplore.ieee.org
Mitotic figure count acts as a proliferative marker to measure aggressiveness of the breast
cancer tumor. In this article, we have proposed a novel framework named SmallMitosis to …
cancer tumor. In this article, we have proposed a novel framework named SmallMitosis to …
ReCasNet: Improving consistency within the two-stage mitosis detection framework
C Piansaddhayanaon, S Santisukwongchote… - Artificial Intelligence in …, 2023 - Elsevier
Mitotic count (MC) is an important histological parameter for cancer diagnosis and grading,
but the manual process for obtaining MC from whole-slide histopathological images is very …
but the manual process for obtaining MC from whole-slide histopathological images is very …