[HTML][HTML] A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …
source, pretrained convolutional neural networks and conventional machine learning …
[HTML][HTML] Swarm learning for decentralized artificial intelligence in cancer histopathology
Artificial intelligence (AI) can predict the presence of molecular alterations directly from
routine histopathology slides. However, training robust AI systems requires large datasets …
routine histopathology slides. However, training robust AI systems requires large datasets …
[HTML][HTML] Adversarial attacks and adversarial robustness in computational pathology
Artificial Intelligence (AI) can support diagnostic workflows in oncology by aiding diagnosis
and providing biomarkers directly from routine pathology slides. However, AI applications …
and providing biomarkers directly from routine pathology slides. However, AI applications …
[HTML][HTML] Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective …
Background Response to immunotherapy in gastric cancer is associated with microsatellite
instability (or mismatch repair deficiency) and Epstein-Barr virus (EBV) positivity. We …
instability (or mismatch repair deficiency) and Epstein-Barr virus (EBV) positivity. We …
[HTML][HTML] Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology
slides of colorectal cancer (CRC). However, it is unclear whether DL can also predict other …
slides of colorectal cancer (CRC). However, it is unclear whether DL can also predict other …
[HTML][HTML] Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma
J Calderaro, N Ghaffari Laleh, Q Zeng, P Maille… - Nature …, 2023 - nature.com
Primary liver cancer arises either from hepatocytic or biliary lineage cells, giving rise to
hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICCA). Combined …
hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICCA). Combined …
[HTML][HTML] Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
Background Microsatellite instability (MSI)/mismatch repair deficiency (dMMR) is a key
genetic feature which should be tested in every patient with colorectal cancer (CRC) …
genetic feature which should be tested in every patient with colorectal cancer (CRC) …
Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer
S Brockmoeller, A Echle, N Ghaffari Laleh… - The Journal of …, 2022 - Wiley Online Library
The spread of early‐stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a
key event in disease progression of colorectal cancer (CRC). The cellular mechanisms …
key event in disease progression of colorectal cancer (CRC). The cellular mechanisms …
[HTML][HTML] Artificial intelligence–based detection of FGFR3 mutational status directly from routine histology in bladder cancer: a possible preselection for molecular …
CML Loeffler, NO Bruechle, M Jung, L Seillier… - European urology …, 2022 - Elsevier
Background Fibroblast growth factor receptor (FGFR) inhibitor treatment has become the first
clinically approved targeted therapy in bladder cancer. However, it requires previous …
clinically approved targeted therapy in bladder cancer. However, it requires previous …
[HTML][HTML] End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study
X Jiang, M Hoffmeister, H Brenner, HS Muti… - The Lancet Digital …, 2024 - thelancet.com
Background Precise prognosis prediction in patients with colorectal cancer (ie, forecasting
survival) is pivotal for individualised treatment and care. Histopathological tissue slides of …
survival) is pivotal for individualised treatment and care. Histopathological tissue slides of …