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The Society for Immunotherapy in Cancer statement on best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) staining and validation
Objectives The interaction between the immune system and tumor cells is an important
feature for the prognosis and treatment of cancer. Multiplex immunohistochemistry (mIHC) …
feature for the prognosis and treatment of cancer. Multiplex immunohistochemistry (mIHC) …
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Given the importance of gland morphology in grading prostate cancer (PCa), automatically
differentiating between epithelium and other tissues is an important prerequisite for the …
differentiating between epithelium and other tissues is an important prerequisite for the …
Two-stage selective ensemble of CNN via deep tree training for medical image classification
Medical image classification is an important task in computer-aided diagnosis systems. Its
performance is critically determined by the descriptiveness and discriminative power of …
performance is critically determined by the descriptiveness and discriminative power of …
Toward computing cross-modality symmetric non-rigid medical image registration
S Mohanty, SP Dakua - IEEE Access, 2022 - ieeexplore.ieee.org
This paper describes a new non-rigid approach to register images from same-and cross-
imaging modalities such as magnetic resonance imaging, computed tomography, and 3D …
imaging modalities such as magnetic resonance imaging, computed tomography, and 3D …
[HTML][HTML] RegWSI: Whole slide image registration using combined deep feature-and intensity-based methods: Winner of the ACROBAT 2023 challenge
Background and objective The automatic registration of differently stained whole slide
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …
Unsupervised histological image registration using structural feature guided convolutional neural network
Registration of multiple stained images is a fundamental task in histological image analysis.
In supervised methods, obtaining ground-truth data with known correspondences is …
In supervised methods, obtaining ground-truth data with known correspondences is …
[HTML][HTML] A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms
Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A
machine learning algorithm that could predict individual cell immunophenotype based on …
machine learning algorithm that could predict individual cell immunophenotype based on …
[HTML][HTML] Whole slide image registration via multi-stained feature matching
In the recent decade, medical image registration and fusion process has emerged as an
effective application to follow up diseases and decide the necessary therapies based on the …
effective application to follow up diseases and decide the necessary therapies based on the …
[HTML][HTML] Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
The tumour microenvironment has been shown to be a valuable source of prognostic
information for different cancer types. This holds in particular for triple negative breast cancer …
information for different cancer types. This holds in particular for triple negative breast cancer …
FastNet: A lightweight convolutional neural network for tumors fast identification in mobile-computer-assisted devices
Histopathology diagnosis is an important standard for breast tumors identifying. However,
histopathology image analysis is complex, tedious, and error-prone, due to the super …
histopathology image analysis is complex, tedious, and error-prone, due to the super …