Alle Papers – KI in der Krebserkennung

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network

Combining multiple serum tumor markers improves detection of stage I epithelial ovarian cancer

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology

Radiography of microcalcifications in stereotaxic mammary core biopsy specimens.

3D cell nuclei segmentation based on gradient flow tracking

Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know

D-former: a U-shaped Dilated Transformer for 3D medical image segmentation

Image based computer aided diagnosis system for cancer detection

An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

Validation of Whole Slide Imaging for Primary Diagnosis in Surgical Pathology

Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer

Relevance vector machine for automatic detection of clustered microcalcifications

Multitask Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition

Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy

Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural

Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer

Segmentation of confocal microscope images of cell nuclei in thick tissue sections

<scp>HER</scp>2 challenge contest: a detailed assessment of automated <scp>HER</scp>2 scoring algorithms in whole slide images of breast cancer tissues

Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection

An Analysis of Algorithms and Methods Based on Image Processing for Medical Applications

Deep Adversarial Learning for Multi-Modality Missing Data Completion

“Good Old” clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers