Survey on deep learning in multimodal medical imaging for cancer detection
The task of multimodal cancer detection is to determine the locations and categories of
lesions by using different imaging techniques, which is one of the key research methods for …
lesions by using different imaging techniques, which is one of the key research methods for …
Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation
In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …
solutions has to be performed within a complex search domain to find an optimal solution …
A New Computer‐Aided Diagnosis System with Modified Genetic Feature Selection for BI‐RADS Classification of Breast Masses in Mammograms
Mammography remains the most prevalent imaging tool for early breast cancer screening.
The language used to describe abnormalities in mammographic reports is based on the …
The language used to describe abnormalities in mammographic reports is based on the …
An automatic detection and localization of mammographic microcalcifications ROI with multi-scale features using the radiomics analysis approach
Simple Summary Breast cancer is one of the foremost causes of cancer-related mortality in
women. It is curable and controllable only if detected early. Microcalcifications in breast …
women. It is curable and controllable only if detected early. Microcalcifications in breast …
A review on machine learning techniques for the assessment of image grading in breast mammogram
Breast cancer is the 2nd leading cancer of death among women around the world. In Asia
and Africa due to low income, the mortality rates are very high as compared to Europe and …
and Africa due to low income, the mortality rates are very high as compared to Europe and …
Architectural distortion-based digital mammograms classification using depth wise convolutional neural network
Simple Summary Breast cancer is leading cancer increases the death rate in women. Early
diagnosis of breast cancer in women can save their lives. The current study proposed a …
diagnosis of breast cancer in women can save their lives. The current study proposed a …
WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system
R Laishram, R Rabidas - Applied Soft Computing, 2021 - Elsevier
For decades, breast cancer is the leading cause of cancer-related deaths among women.
Early detection and diagnosis of breast cancer can effectively reduce the mortality rate …
Early detection and diagnosis of breast cancer can effectively reduce the mortality rate …
Breast tumor segmentation in digital mammograms using spiculated regions
H Pezeshki - Biomedical Signal Processing and Control, 2022 - Elsevier
Mammogram image segmentation is the process of partitioning mammograms into
meaningful and separate areas. However, during the segmentation process, masses are …
meaningful and separate areas. However, during the segmentation process, masses are …
Mass classification of mammograms using fractal dimensions and statistical features
For classification of tumors in mammography, the major features are extracted from the
segmented tumor. However, some details of the tumor margin, such as the spiculated parts …
segmented tumor. However, some details of the tumor margin, such as the spiculated parts …
Thermography based breast cancer detection using self‐adaptive gray level histogram equalization color enhancement method
AM Arul Edwin Raj, M Sundaram… - International Journal of …, 2021 - Wiley Online Library
The early detection of tumor is necessary to save a number of lives. In women, the
temperature of the affected area of the tumor is warmer than the unaffected area; therefore …
temperature of the affected area of the tumor is warmer than the unaffected area; therefore …