Optimized Deep Learning-Based Fully Resolution Convolution Neural Network for Breast Tumour Segmentation on Field Programmable Gate Array
SG MN, MN Eshwarappa - Computer Methods in Biomechanics …, 2023 - Taylor & Francis
Deep learning (DL) approaches have been highly interesting in segmentation and
classification in recent years. During breast cancer detection, a convolutional neural network …
classification in recent years. During breast cancer detection, a convolutional neural network …
Mathematical relationship between hotspot temperature, emissivity and distance in thermographs for condition monitoring of electrical equipments
MS Sangeetha, NM Nandhitha… - … on Trends in …, 2018 - ieeexplore.ieee.org
Heat is an effective indicator for condition monitoring of electrical equipments. Heat is
measured using thermal camera, which maps heat patterns into thermographs. Hotspot or …
measured using thermal camera, which maps heat patterns into thermographs. Hotspot or …
Optimal Feature Selection for Computer-Aided Characterization of Tissues: Case Study of Mammograms
Feature extraction and selection are very important stages in pattern recognition and
computer vision solutions with far-reaching effects on their performance. In computer-aided …
computer vision solutions with far-reaching effects on their performance. In computer-aided …
A Review on medical Image Segmentation: Techniques and Its Efficiency
Image segmentation is the procedure of separating an image into significant areas based on
similarity or heterogeneity measures and it is widely used in many fields that involve digital …
similarity or heterogeneity measures and it is widely used in many fields that involve digital …