[PDF][PDF] An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation.
J Wu, Z Liu, X Jiang, X Tao… - Computers, Materials & …, 2024 - cdn.techscience.cn
The current existing problem of deep learning framework for the detection and segmentation
of electrical equipment is dominantly related to low precision. Because of the reliable, safe …
of electrical equipment is dominantly related to low precision. Because of the reliable, safe …
An Ensemble Learning Based Nuclei Segmentation: Using Base Deep Learning Models with Different Loss Functions
Nuclei instance segmentation is a crucial task for computational pathology, as it enables
precise analysis of nuclear morphology, aiding in the early diagnosis and accurate …
precise analysis of nuclear morphology, aiding in the early diagnosis and accurate …
Semantic and Instance Segmentation of Multi-organ Cell Nuclei Using Deep Learning Based Methods
In this paper, a semantic and instance-based segmentation study for cell nuclei in multi-
organ histology images is presented. In the proposed study, it was aimed to segment the cell …
organ histology images is presented. In the proposed study, it was aimed to segment the cell …
Segmentation of Cell Nuclei in Histology Images with Vision Transformer Based U-Net Models
This paper presents a research study on the performance analysis of vision transformer-
based UNet models in semantic and instance segmentation of cell nuclei in colon histology …
based UNet models in semantic and instance segmentation of cell nuclei in colon histology …