Alle Papers – KI in der Krebserkennung

Robust whole slide image analysis for cervical cancer screening using deep learning

VALIDATION OF PARTIN TABLES FOR PREDICTING PATHOLOGICAL STAGE OF CLINICALLY LOCALIZED PROSTATE CANCER

Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks

Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images

Digital image analysis outperforms manual biomarker assessment in breast cancer

MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection

Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides

An improved random forest-based rule extraction method for breast cancer diagnosis

Development of machine learning model for diagnostic disease prediction based on laboratory tests

Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images

ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation

Leadership training to improve adenoma detection rate in screening colonoscopy: a randomised trial

Dense Convolutional Network and Its Application in Medical Image Analysis

Feature Extraction and Classification of Chest X-Ray Images Using CNN to Detect Pneumonia

Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies

Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care

MuDeRN: Multi-category classification of breast histopathological image using deep residual networks

Assessment of Screening for Prostate Cancer Using the Digital Rectal Examination

Flat-field correction technique for digital detectors

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network

An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia

Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions

Deep learning in generating radiology reports: A survey

Melanoma skin cancer detection using deep learning and classical machine learning techniques: A hybrid approach

Inconsistent Performance of Deep Learning Models on Mammogram Classification