Harnessing artificial intelligence for prostate cancer management
L Zhu, J Pan, W Mou, L Deng, Y Zhu, Y Wang… - Cell Reports …, 2024 - cell.com
Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is
crucial for clinical decision-making, but traditional pathology review is labor intensive and …
crucial for clinical decision-making, but traditional pathology review is labor intensive and …
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators
Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …
A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
The fight against cancer, a relentless global health crisis, emphasizes the urgency for
efficient and automated early detection methods. To address this critical need, this review …
efficient and automated early detection methods. To address this critical need, this review …
[HTML][HTML] A systematic review of generalization research in medical image classification
S Matta, M Lamard, P Zhang, A Le Guilcher… - Computers in biology …, 2024 - Elsevier
Abstract Numerous Deep Learning (DL) classification models have been developed for a
large spectrum of medical image analysis applications, which promises to reshape various …
large spectrum of medical image analysis applications, which promises to reshape various …
Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning
Accurate identification of molecular alterations in gliomas is crucial for their diagnosis and
treatment. Although, fluorescence in situ hybridization (FISH) allows for the observation of …
treatment. Although, fluorescence in situ hybridization (FISH) allows for the observation of …
Artificial intelligence–based algorithms for the diagnosis of prostate cancer: A systematic review
S Marletta, A Eccher, FM Martelli… - American Journal of …, 2024 - academic.oup.com
Objectives The high incidence of prostate cancer causes prostatic samples to significantly
affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging …
affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging …
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture
Prostate cancer, the most common cancer in men, is influenced by age, family history,
genetics, and lifestyle factors. Early detection of prostate cancer using screening methods …
genetics, and lifestyle factors. Early detection of prostate cancer using screening methods …
Automated machine learning with interpretation: a systematic review of methodologies and applications in healthcare
Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …
[PDF][PDF] A good feature extractor is all you need for weakly supervised learning in histopathology
Deep learning is revolutionising pathology, offering novel opportunities in disease prognosis
and personalised treatment. Historically, stain normalisation has been a crucial …
and personalised treatment. Historically, stain normalisation has been a crucial …