Alle Papers – KI in der Krebserkennung

Gastric histopathology image segmentation using a hierarchical conditional random field

Deep Learning of Histopathology Images at the Single Cell Level

The Digital Anatomist Information System and Its Use in the Generation and Delivery of Web-Based Anatomy Atlases

Automated bone contour detection in ultrasound B‐mode images for minimally invasive registration in computer‐assisted surgery—an <i>in vitro</i> evaluation

Diagnosis of Oral Squamous Cell Carcinoma Using Deep Neural Networks and Binary Particle Swarm Optimization on Histopathological Images: An AIoMT Approach

Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks

Template‐based automatic breast segmentation on MRI by excluding the chest region

Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning

A systematic review of intermediate fusion in multimodal deep learning for biomedical applications

Artificial intelligence in the detection of skin cancer: State of the art

Ultrasound mammography: a comparison with radiographic mammography.

Computer-aided diagnosis of solid breast nodules on ultrasound with digital image processing and artificial neural network

SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations

Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans

Detection of COVID-19 using deep learning techniques and classification methods

Rapid quantification of pixel-wise fiber orientation data in micrographs

Development and initial validation of a deep learning algorithm to quantify histological features in colorectal carcinoma including tumour budding/poorly differentiated clusters

Association of Screening With Digital Breast Tomosynthesis vs Digital Mammography With Risk of Interval Invasive and Advanced Breast Cancer

A Smart IoT Platform for Oncology Patient Diagnosis based on AI: Towards the Human Digital Twin

BI-LEVEL IMAGE THRESHOLDING - A Fast Method

Characterization of architectural distortion in mammograms

A Local and Global Feature Disentangled Network: Toward Classification of Benign-Malignant Thyroid Nodules From Ultrasound Image

Skin Cancer Classification Model Based on VGG 19 and Transfer Learning

Early Stage Breast Cancer Detection System using GLCM feature extraction and K-Nearest Neighbor (k-NN) on Mammography image

Feature fusion and Ensemble learning-based CNN model for mammographic image classification