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 …
Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Imagen editor and editbench: Advancing and evaluating text-guided image inpainting
Text-guided image editing can have a transformative impact in supporting creative
applications. A key challenge is to generate edits that are faithful to the input text prompt …
applications. A key challenge is to generate edits that are faithful to the input text prompt …
Lite-hrnet: A lightweight high-resolution network
We present an efficient high-resolution network, Lite-HRNet, for human pose estimation. We
start by simply applying the efficient shuffle block in ShuffleNet to HRNet (high-resolution …
start by simply applying the efficient shuffle block in ShuffleNet to HRNet (high-resolution …
Searching for mobilenetv3
We present the next generation of MobileNets based on a combination of complementary
search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile …
search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile …
Face mask detection using transfer learning of inceptionv3
The world is facing a huge health crisis due to the rapid transmission of coronavirus (COVID-
19). Several guidelines were issued by the World Health Organization (WHO) for protection …
19). Several guidelines were issued by the World Health Organization (WHO) for protection …
Recent advances in deep learning for object detection
Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …
been widely studied in the past decades. Visual object detection aims to find objects of …
Automatic and reliable leaf disease detection using deep learning techniques
Plants are a major source of food for the world population. Plant diseases contribute to
production loss, which can be tackled with continuous monitoring. Manual plant disease …
production loss, which can be tackled with continuous monitoring. Manual plant disease …
General instance distillation for object detection
In recent years, knowledge distillation has been proved to be an effective solution for model
compression. This approach can make lightweight student models acquire the knowledge …
compression. This approach can make lightweight student models acquire the knowledge …
Video classification with channel-separated convolutional networks
Group convolution has been shown to offer great computational savings in various 2D
convolutional architectures for image classification. It is natural to ask: 1) if group convolution …
convolutional architectures for image classification. It is natural to ask: 1) if group convolution …