Machine learning for lung cancer diagnosis, treatment, and prognosis

Y Li, X Wu, P Yang, G Jiang… - Genomics, Proteomics and …, 2022 - academic.oup.com
The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …

A general-purpose self-supervised model for computational pathology

RJ Chen, T Ding, MY Lu, DFK Williamson… - arXiv preprint arXiv …, 2023 - arxiv.org
Tissue phenotyping is a fundamental computational pathology (CPath) task in learning
objective characterizations of histopathologic biomarkers in anatomic pathology. However …

Single-sample image-fusion upsampling of fluorescence lifetime images

V Kapitany, A Fatima, V Zickus, J Whitelaw… - Science …, 2024 - science.org
Fluorescence lifetime imaging microscopy (FLIM) provides detailed information about
molecular interactions and biological processes. A major bottleneck for FLIM is image …

More from less: Self-supervised knowledge distillation for routine histopathology data

L Farndale, R Insall, K Yuan - … Workshop on Machine Learning in Medical …, 2023 - Springer
Medical imaging technologies are generating increasingly large amounts of high-quality,
information-dense data. Despite the progress, practical use of advanced imaging …

Bench to bedside: recent advances in lung cancer pathological research with implications for diagnostic clinical practice

DA Moore, J Le Quesne - Diagnostic Histopathology, 2022 - Elsevier
After decades of relative stagnation lung cancer is emerging as a disease type where rapid
progress is being made in diagnosis and therapy, as well as in our understanding of disease …

Development of advanced machine learning models for the fusion of heterogeneous biological sources in clinical decision support systems for cancer

F Carrillo Pérez - 2023 - digibug.ugr.es
Cancer is one of the leading causes of death worldwide, just behind cardiovascular
diseases. An early diagnosis is key for the prognosis of the patient, since it allows applying …