Journal ArticleDOI
Nipple Segmentation and Localization Using Modified U-Net on Breast Ultrasound Images
Zhemin Zhuang,Alex Noel Joseph Raj,Atyant Jain,Ruban Nersisson,Saksham Chaurasia,Nan Li,M. K. Lakshmanan,Murugappan Murugappan +7 more
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This article is published in Journal of Medical Imaging and Health Informatics.The article was published on 2019-12-01. It has received 16 citations till now. The article focuses on the topics: Breast ultrasound.read more
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Journal ArticleDOI
A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection
TL;DR: This work aims to develop a deep learning architecture (DLA) to support the automated detection of BT using two-dimensional MRI slices and confirms that the VGG19 with SVM-RBF helped to attain better classification accuracy with Flair, T2, T1C and clinical images.
Journal ArticleDOI
RDA-UNET-WGAN: An Accurate Breast Ultrasound Lesion Segmentation Using Wasserstein Generative Adversarial Networks
TL;DR: This paper proposes a Generative Adversarial Network (GAN) based algorithm for segmenting the tumor in Breast Ultrasound images and showcases the shortcomings of CNN, RDA U-Net and other models and how they can be rectified using the WGAN-RDA-UNET model.
Journal ArticleDOI
ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans
Alex Noel Joseph Raj,Haipeng Zhu,Asiya Khan,Zhemin Zhuang,Zengbiao Yang,Vijayalakshmi G. V. Mahesh,Ganesan Karthik +6 more
TL;DR: The experimental results show that the ADID-UNET model can accurately segment COVID-19 lung infected areas, with performance measures greater than 80% for metrics like Accuracy, Specificity and Dice Coefficient, and the proposed model showed excellent segmentation effects.
Journal ArticleDOI
Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning
Alexander E. White,Alexander E. White,Rebecca B. Dikow,Makinnon Baugh,Abigail Jenkins,Paul B. Frandsen,Paul B. Frandsen +6 more
TL;DR: A workflow and data set of high‐resolution image masks are developed to segment plant tissues in herbarium specimen images and remove background pixels using deep learning.
Posted Content
Deep Learning in Medical Ultrasound Image Segmentation: a Review.
TL;DR: In this review article, deep-learning-based methods for ultrasound image segmentation are categorized into six main groups according to their architectures and training at first, and the challenges and potential research directions for medical ultrasound image segmentsation are discussed.