[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 …
[HTML][HTML] One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification
The recent surge in performance for image analysis of digitised pathology slides can largely
be attributed to the advances in deep learning. Deep models can be used to initially localise …
be attributed to the advances in deep learning. Deep models can be used to initially localise …
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] Mitosis detection, fast and slow: robust and efficient detection of mitotic figures
M Jahanifar, A Shephard, N Zamanitajeddin… - Medical Image …, 2024 - Elsevier
Counting of mitotic figures is a fundamental step in grading and prognostication of several
cancers. However, manual mitosis counting is tedious and time-consuming. In addition …
cancers. However, manual mitosis counting is tedious and time-consuming. In addition …
Development and validation of a multivariable model for prediction of malignant transformation and recurrence of oral epithelial dysplasia
H Mahmood, A Shephard, P Hankinson… - British Journal of …, 2023 - nature.com
Background Oral epithelial dysplasia (OED) is the precursor to oral squamous cell
carcinoma which is amongst the top ten cancers worldwide. Prognostic significance of …
carcinoma which is amongst the top ten cancers worldwide. Prognostic significance of …
[HTML][HTML] Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer
N Zamanitajeddin, M Jahanifar, M Bilal… - Medical Image …, 2024 - Elsevier
Colorectal cancer (CRC) is a primary global health concern, and identifying the molecular
pathways, genetic subtypes, and mutations associated with CRC is crucial for precision …
pathways, genetic subtypes, and mutations associated with CRC is crucial for precision …
A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia
Oral squamous cell carcinoma (OSCC) is amongst the most common cancers, with more
than 377,000 new cases worldwide each year. OSCC prognosis remains poor, related to …
than 377,000 new cases worldwide each year. OSCC prognosis remains poor, related to …
A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia
Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to
lesions of the oral cavity. Its grading suffers from significant inter-/intra-observer variability …
lesions of the oral cavity. Its grading suffers from significant inter-/intra-observer variability …
An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research
Introduction Oral epithelial dysplasia (OED) is a precancerous histopathological finding
which is considered the most important prognostic indicator for determining the risk of …
which is considered the most important prognostic indicator for determining the risk of …
Domain generalization in computational pathology: survey and guidelines
Deep learning models have exhibited exceptional effectiveness in Computational Pathology
(CPath) by tackling intricate tasks across an array of histology image analysis applications …
(CPath) by tackling intricate tasks across an array of histology image analysis applications …