Alle Papers – KI in der Krebserkennung

Trainable model for segmenting and identifying Nasopharyngeal carcinoma

Detecting brain tumors using deep learning convolutional neural network with transfer learning approach

TA-Net: Triple attention network for medical image segmentation

Serum prolactin levels are positively associated with mammographic density in postmenopausal women

Re: Changes in Breast Cancer Detection and Mammography Recall Rates After the Introduction of a Computer-Aided Detection System

Fine-needle aspiration cytology diagnosis of colloid nodule versus follicular variant of papillary carcinoma of the thyroid

Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology

Change of mammographic density predicts the risk of contralateral breast cancer - a case-control study

Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients

Automatic Identification of Down Syndrome Using Facial Images with Deep Convolutional Neural Network

Deep Convolutional Neural Network-Based Lymph Node Metastasis Prediction for Colon Cancer Using Histopathological Images

Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study)

Texture‐based feature extraction of smear images for the detection of cervical cancer

Deep Learning Approaches to Colorectal Cancer Diagnosis: A Review

Unsupervised Histopathology Image Synthesis

End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Digital Pathology: Data-Intensive Frontier in Medical Imaging

Automatic segmentation of histopathological slides of renal tissue using deep learning

Narrative review of generative adversarial networks in medical and molecular imaging

Successful Identification of Nasopharyngeal Carcinoma in Nasopharyngeal Biopsies Using Deep Learning

A Review of the Role of Augmented Intelligence in Breast Imaging: From Automated Breast Density Assessment to Risk Stratification

An Artificial Intelligence Multiprocessing Scheme for the Diagnosis of Osteosarcoma MRI Images

Improved U-net MALF model for lesion segmentation in breast ultrasound images

An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer