Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects
Purpose This review provides an overview of the current state of artificial intelligence (AI)
technology for automated detection of breast cancer in digital mammography (DM) and …
technology for automated detection of breast cancer in digital mammography (DM) and …
[HTML][HTML] Image augmentation techniques for mammogram analysis
Research in the medical imaging field using deep learning approaches has become
progressively contingent. Scientific findings reveal that supervised deep learning methods' …
progressively contingent. Scientific findings reveal that supervised deep learning methods' …
Vision-transformer-based transfer learning for mammogram classification
Breast mass identification is a crucial procedure during mammogram-based early breast
cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or …
cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or …
DM-CNN: Dynamic Multi-scale Convolutional Neural Network with uncertainty quantification for medical image classification
Q Han, X Qian, H Xu, K Wu, L Meng, Z Qiu… - Computers in biology …, 2024 - Elsevier
Convolutional neural network (CNN) has promoted the development of diagnosis
technology of medical images. However, the performance of CNN is limited by insufficient …
technology of medical images. However, the performance of CNN is limited by insufficient …
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …
and adoption of AI technologies remain limited in clinical practice. This paper describes the …
Convolutional networks and transformers for mammography classification: an experimental study
Convolutional Neural Networks (CNN) have received a large share of research in
mammography image analysis due to their capability of extracting hierarchical features …
mammography image analysis due to their capability of extracting hierarchical features …
[HTML][HTML] A systematic review of generalization research in medical image classification
Abstract Numerous Deep Learning (DL) classification models have been developed for a
large spectrum of medical image analysis applications, which promises to reshape various …
large spectrum of medical image analysis applications, which promises to reshape various …
Domain generalization for mammographic image analysis with contrastive learning
The deep learning technique has been shown to be effectively addressed several image
analysis tasks in the computer-aided diagnosis scheme for mammography. The training of …
analysis tasks in the computer-aided diagnosis scheme for mammography. The training of …
Vision transformers in domain adaptation and domain generalization: a study of robustness
Deep learning models are often evaluated in scenarios where the data distribution is
different from those used in the training and validation phases. The discrepancy presents a …
different from those used in the training and validation phases. The discrepancy presents a …
Mass segmentation and classification from film mammograms using cascaded deep transfer learning
Breast cancer is the most common type of cancer among women worldwide. Early breast
cancers have a high chance of cure so early diagnosis is critical. Mammography screening …
cancers have a high chance of cure so early diagnosis is critical. Mammography screening …