Alle Papers – KI in der Krebserkennung

Boosting Breast Cancer Detection Using Convolutional Neural Network

Interexaminer variability of digital rectal examination in detecting prostate cancer

Unsupervised cell nucleus segmentation with active contours

Artificial intelligence and colonoscopy experience: lessons from two randomised trials

A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?

Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning

Automated quantification of aligned collagen for human breast carcinoma prognosis

Artificial intelligence in the interpretation of breast cancer on MRI

Population-based Mammography Screening: Comparison of Screen-Film and Full-Field Digital Mammography with Soft-Copy Reading—Oslo I Study

Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering

International Variation in Histologic Grading Is Large, and Persistent Feedback Does Not Improve Reproducibility

Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects

Transfer learning for medical images analyses: A survey

Mask-RCNN and U-Net Ensembled for Nuclei Segmentation

Recommendations for Improved Standardization of Immunohistochemistry

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning

Automatic cell-type harmonization and integration across Human Cell Atlas datasets

How Segment Anything Model (Sam) Boost Medical Image Segmentation: A Survey

A longitudinal study of the effects of menopause on mammographic features.

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks

Prospective trial comparing full-field digital mammography (FFDM) versus combined FFDM and tomosynthesis in a population-based screening programme using independent double reading with arbitration

Cytological diagnosis by fine needle sampling without aspiration

Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video)

Deep Learning-Based System for Automatic Melanoma Detection

3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas