Current methods in medical image segmentation
▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by
automating or facilitating the delineation of anatomical structures and other regions of …
automating or facilitating the delineation of anatomical structures and other regions of …
Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review
Breast cancer is the most common form of cancer among women worldwide. Early detection
of breast cancer can increase treatment options and patients' survivability. Mammography is …
of breast cancer can increase treatment options and patients' survivability. Mammography is …
Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation
Deep learning networks have recently been shown to outperform other segmentation
methods on various public, medical-image challenge datasets, particularly on metrics …
methods on various public, medical-image challenge datasets, particularly on metrics …
Large scale deep learning for computer aided detection of mammographic lesions
Recent advances in machine learning yielded new techniques to train deep neural
networks, which resulted in highly successful applications in many pattern recognition tasks …
networks, which resulted in highly successful applications in many pattern recognition tasks …
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
A computer-aided diagnosis (CAD) system requires detection, segmentation, and
classification in one framework to assist radiologists efficiently in an accurate diagnosis. In …
classification in one framework to assist radiologists efficiently in an accurate diagnosis. In …
[HTML][HTML] Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach
Breast cancer is the second leading cause of cancer death in women. Accurate early
detection can effectively reduce the mortality rate caused by breast cancer. Masses and …
detection can effectively reduce the mortality rate caused by breast cancer. Masses and …
[图书][B] Image processing: principles and applications
Image processing-from basics to advanced applications Learn how to master image
processing and compression with this outstanding state-of-the-art reference. From …
processing and compression with this outstanding state-of-the-art reference. From …
Automatic breast ultrasound image segmentation: A survey
Breast cancer is one of the leading causes of cancer death among women worldwide. In
clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging …
clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging …
A review of automatic mass detection and segmentation in mammographic images
A Oliver, J Freixenet, J Marti, E Perez, J Pont… - Medical image …, 2010 - Elsevier
The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …
segmentation of masses in mammographic images, highlighting the key-points and main …
Approaches for automated detection and classification of masses in mammograms
HD Cheng, XJ Shi, R Min, LM Hu, XP Cai, HN Du - Pattern recognition, 2006 - Elsevier
Breast cancer continues to be a significant public health problem in the world. Early
detection is the key for improving breast cancer prognosis. Mammography has been one of …
detection is the key for improving breast cancer prognosis. Mammography has been one of …