Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …
tremendous growth in the medical field. Medical images are considered as the actual origin …
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
Traditional methods of diagnosing breast cancer (BC) suffer from human errors, are less
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …
Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion
Z Zhuang, Z Yang, ANJ Raj, C Wei, P Jin… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective Breast cancer is a fatal threat to the health of women.
Ultrasonography is a common method for the detection of breast cancer. Computer-aided …
Ultrasonography is a common method for the detection of breast cancer. Computer-aided …
[HTML][HTML] Breast mass classification with transfer learning based on scaling of deep representations
M Byra - Biomedical Signal Processing and Control, 2021 - Elsevier
Ultrasound (US) imaging is widely used to help radiologists in diagnosing breast cancer. In
this work, we propose a deep learning based approach to breast mass classification in US …
this work, we propose a deep learning based approach to breast mass classification in US …
[PDF][PDF] A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Breast cancer is one of the leading causes of death in women worldwide—the rapid
increase in breast cancer has brought about more accessible diagnosis resources. The …
increase in breast cancer has brought about more accessible diagnosis resources. The …
Computer auxiliary diagnosis technique of detecting cholangiocarcinoma based on medical imaging: A review
S Wang, X Liu, J Zhao, Y Liu, S Liu, Y Liu… - Computer Methods and …, 2021 - Elsevier
Background and objectives Cholangiocarcinoma (CCA) is one of the most aggressive
human malignant tumors and is becoming one of the main factors of death and disability …
human malignant tumors and is becoming one of the main factors of death and disability …
Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images
Abstract Computer-Aided Diagnosis (CAD) system is preferred for automatic thyroid tumor
ultrasound image characterization instead of manual assessment by the experts …
ultrasound image characterization instead of manual assessment by the experts …
Breast tumor classification in ultrasound images by fusion of deep convolutional neural network and shallow LBP feature
H Chen, M Ma, G Liu, Y Wang, Z Jin, C Liu - Journal of digital imaging, 2023 - Springer
Breast cancer is one of the most dangerous and common cancers in women which leads to
a major research topic in medical science. To assist physicians in pre-screening for breast …
a major research topic in medical science. To assist physicians in pre-screening for breast …
[PDF][PDF] A hybrid two-stage SqueezeNet and support vector machine system for Parkinson's disease detection based on handwritten spiral patterns
LS Bernardo, R Damaševičius… - … Journal of Applied …, 2021 - intapi.sciendo.com
Parkinson's disease (PD) is the second most common neurological disorder in the world.
Nowadays, it is estimated that it affects from 2% to 3% of the global population over 65 years …
Nowadays, it is estimated that it affects from 2% to 3% of the global population over 65 years …
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data …
Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous
because of the complex structure of cancerous lesions in different imaging modalities, high …
because of the complex structure of cancerous lesions in different imaging modalities, high …