Breast cancer is the most commonly diagnosed cancer, which alone accounts for 30% all new cancer diagnoses for women, posing a threat to women's health. Segmentation of …
A Iqbal, M Sharif - Knowledge-Based Systems, 2023 - Elsevier
Breast cancer is considered the most commonly diagnosed cancer globally and falls second to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …
Purpose Breast ultrasound (BUS) is one of the imaging modalities for the diagnosis and treatment of breast cancer. However, the segmentation and classification of BUS images is a …
A Iqbal, M Sharif - Expert Systems with Applications, 2023 - Elsevier
Rapid and precise segmentation of breast tumors is a severe challenge for the global research community to diagnose breast cancer in younger females. An ultrasound system is …
Objectives To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and classification of ultrasound (US) breast lesions mimicking human decision …
Background The role of a sensor element is to measure incident irradiance and record that quantity as an image intensity value. However, physical constraints limit the maximum …
Automatic tumor segmentation in breast ultrasound (BUS) images is still a challenging task because of many sources of uncertainty, such as speckle noise, very low signal-to-noise …
W Qi, HC Wu, SC Chan - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
Breast tumor segmentation of ultrasound images provides valuable information of tumors for early detection and diagnosis. Accurate segmentation is challenging due to low image …
We propose a novel initialization method designed for active contours (AC) and the level set method (LSM), based on walking particles. The algorithm defines the seeds at converging …