Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
[HTML][HTML] An aggregation of aggregation methods in computational pathology
Image analysis and machine learning algorithms operating on multi-gigapixel whole-slide
images (WSIs) often process a large number of tiles (sub-images) and require aggregating …
images (WSIs) often process a large number of tiles (sub-images) and require aggregating …
Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning
Methods of computational pathology applied to the analysis of whole-slide images (WSIs) do
not typically consider histopathological features from the tumour microenvironment. Here …
not typically consider histopathological features from the tumour microenvironment. Here …
Region of interest (ROI) selection using vision transformer for automatic analysis using whole slide images
Selecting regions of interest (ROI) is a common step in medical image analysis across all
imaging modalities. An ROI is a subset of an image appropriate for the intended analysis …
imaging modalities. An ROI is a subset of an image appropriate for the intended analysis …
TIAToolbox as an end-to-end library for advanced tissue image analytics
Background Computational pathology has seen rapid growth in recent years, driven by
advanced deep-learning algorithms. Due to the sheer size and complexity of multi-gigapixel …
advanced deep-learning algorithms. Due to the sheer size and complexity of multi-gigapixel …
[HTML][HTML] Pathomic features reveal immune and molecular evolution from lung preneoplasia to invasive adenocarcinoma
Recent statistics on lung cancer, including the steady decline of advanced diseases and the
dramatically increasing detection of early-stage diseases and indeterminate pulmonary …
dramatically increasing detection of early-stage diseases and indeterminate pulmonary …
[HTML][HTML] Immune subtyping of melanoma whole slide images using multiple instance learning
Determining early-stage prognostic markers and stratifying patients for effective treatment
are two key challenges for improving outcomes for melanoma patients. Previous studies …
are two key challenges for improving outcomes for melanoma patients. Previous studies …
A hierarchical graph V-Net with semi-supervised pre-training for histological image based breast Cancer classification
Numerous patch-based methods have recently been proposed for histological image based
breast cancer classification. However, their performance could be highly affected by ignoring …
breast cancer classification. However, their performance could be highly affected by ignoring …
Kernel attention transformer for histopathology whole slide image analysis and assistant cancer diagnosis
Transformer has been widely used in histopathology whole slide image analysis. However,
the design of token-wise self-attention and positional embedding strategy in the common …
the design of token-wise self-attention and positional embedding strategy in the common …
Strategies for enhancing the multi-stage classification performances of her2 breast cancer from hematoxylin and eosin images
MSH Shovon, MJ Islam, MNAK Nabil, MM Molla… - Diagnostics, 2022 - mdpi.com
Breast cancer is a significant health concern among women. Prompt diagnosis can diminish
the mortality rate and direct patients to take steps for cancer treatment. Recently, deep …
the mortality rate and direct patients to take steps for cancer treatment. Recently, deep …