@article{DBLP:journals/corr/abs-2207-06799, author = {Qi Zhao and Shuchang Lyu and Wenpei Bai and Linghan Cai and Binghao Liu and Meijing Wu and Xiubo Sang and Min ...

The dataset PanNuke-Mini-ImageMask-Dataset-With-Categorize-Masks.zip. used here has been taken from.

Abstract: Aiming at the situation of dermatoscopic images with fuzzy lesion boundaries, variable morphology and high similarity to background, this paper proposes a skin lesion segmentation algorithm ...

The study of oceanic internal waves remains a critical area of research within oceanography. With the rapid advancements in oceanic remote sensing and deep learning, it is now possible to extract ...

Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Neural networks are powerful tools for processing visual inputs, but precisely how this processing is performed remains unclear. We introduce a recurrent neural network that can perform simple image ...