A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu… - Computers in Biology …, 2023 - Elsevier
Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …
processing with the advancement of deep learning in natural image classification, detection …
Advances in medical image analysis with vision transformers: a comprehensive review
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …
has recently also triggered broad interest in Computer Vision. Among other merits …
Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of standardized
biomedical images, including 12 datasets for 2D and 6 datasets for 3D. All images are pre …
biomedical images, including 12 datasets for 2D and 6 datasets for 3D. All images are pre …
Usb: A unified semi-supervised learning benchmark for classification
Semi-supervised learning (SSL) improves model generalization by leveraging massive
unlabeled data to augment limited labeled samples. However, currently, popular SSL …
unlabeled data to augment limited labeled samples. However, currently, popular SSL …
MedViT: a robust vision transformer for generalized medical image classification
Abstract Convolutional Neural Networks (CNNs) have advanced existing medical systems
for automatic disease diagnosis. However, there are still concerns about the reliability of …
for automatic disease diagnosis. However, there are still concerns about the reliability of …
[HTML][HTML] Systematic literature review: Quantum machine learning and its applications
D Peral-García, J Cruz-Benito… - Computer Science …, 2024 - Elsevier
Quantum physics has changed the way we understand our environment, and one of its
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
Automl for deep recommender systems: A survey
Recommender systems play a significant role in information filtering and have been utilized
in different scenarios, such as e-commerce and social media. With the prosperity of deep …
in different scenarios, such as e-commerce and social media. With the prosperity of deep …
Explainable AI in medical imaging: An overview for clinical practitioners–Beyond saliency-based XAI approaches
Driven by recent advances in Artificial Intelligence (AI) and Computer Vision (CV), the
implementation of AI systems in the medical domain increased correspondingly. This is …
implementation of AI systems in the medical domain increased correspondingly. This is …
Explainable ai in medical imaging: An overview for clinical practitioners–saliency-based xai approaches
Since recent achievements of Artificial Intelligence (AI) have proven significant success and
promising results throughout many fields of application during the last decade, AI has also …
promising results throughout many fields of application during the last decade, AI has also …
Expanding small-scale datasets with guided imagination
The power of DNNs relies heavily on the quantity and quality of training data. However,
collecting and annotating data on a large scale is often expensive and time-consuming. To …
collecting and annotating data on a large scale is often expensive and time-consuming. To …