Rapid segmentation and diagnosis of breast tumor ultrasound images at the sonographer level using deep learning

L Yang, B Zhang, F Ren, J Gu, J Gao, J Wu, D Li, H Jia… - Bioengineering, 2023 - mdpi.com
Background: Breast cancer is one of the most common malignant tumors in women. A
noninvasive ultrasound examination can identify mammary-gland-related diseases and is …

[HTML][HTML] CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound

YM Wang, CY Wang, KY Liu, YH Huang, TB Chen… - Tomography, 2024 - mdpi.com
Background/Objectives: Breast cancer is a leading cause of mortality among women in
Taiwan and globally. Non-invasive imaging methods, such as mammography and …

Machine vision based surface roughness assessment system based on the Internet of Things and contourlet transforms

V Chebrolu, R Koona, RSU Raju - International Journal on Interactive …, 2023 - Springer
The contemporary progress in the automatic evaluation of surface roughness is based on
machine vision systems. The human faults and struggles tangled in measuring surface …

RM-CC Image-Based Breast Tumor Classification Using Vision Transformer

SM Kabir, MIH Bhuiyan, SA Ahad… - 2023 5th International …, 2023 - ieeexplore.ieee.org
This research aimed to develop an effective method for classifying breast tumors using a
combination of contourlet transformation, parametric imaging, and vision transformer …

Multiresolution Evaluation of Contourlet Transform for the Diagnosis of Skin Cancer

ARM Sikkander, VV Lakshmi, G Theivanathan… - 2024 - researchsquare.com
The successful treatment of skin cancer and better patient outcomes depend on an early and
precise diagnosis. This work offers a multiresolution assessment of the contourlet transform …