Zoppo, Christopher Kolstad, Josephine Johnston, Jean D'Souza, Precilla Kühn, Anna Luisa Vardar, Zeynep Peker, Ahmet Lindsay, Clifford Rentiya, Zubir S. King, Robert
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Published in
Frontiers in Neuroimaging
Purpose GM1-gangliosidosis (GM1) leads to extensive neurodegenerative changes and atrophy that precludes the use of automated MRI segmentation techniques for generating brain volumetrics. We developed a standardized segmentation protocol for brain MRIs of patients with type II GM1 and then assessed the inter- and intra-rater reliability of this met...
Salehi, Shirin Shao, Wei Chu, Eleanor Chang, Peter D
ABSTRACT : Background: Parotid tumors represent 70-85% of all salivary gland masses and 15% of identified parotid tumors are malignant. Malignant tumors require surgical intervention and more advanced tumors require more extensive surgical resection with a higher likelihood of facial muscle dysfunction, nerve damage, and disfigurement. Automated ac...
Li, Yini Li, Cao Yang, Tao Chen, Lingzhi Huang, Mingquan Yang, Lu Zhou, Shuxian Liu, Huaqing Xia, Jizhu Wang, Shijie
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Published in
Frontiers in Oncology
Objectives To develop and validate a deep learning (DL) based automatic segmentation and classification system to classify benign and malignant BI-RADS 4 lesions imaged with ABVS. Methods From May to December 2020, patients with BI-RADS 4 lesions from Centre 1 and Centre 2 were retrospectively enrolled and divided into a training set (Centre 1) and...
Khadhraoui, Eya Nickl-Jockschat, Thomas Henkes, Hans Behme, Daniel Müller, Sebastian Johannes
Published in
Frontiers in Aging Neuroscience
Background Dementia can be caused by numerous different diseases that present variable clinical courses and reveal multiple patterns of brain atrophy, making its accurate early diagnosis by conventional examinative means challenging. Although highly accurate and powerful, magnetic resonance imaging (MRI) currently plays only a supportive role in de...
Edward Thomas, Anjelin Genifer J, Shiny Duela
Published in
Physica Scripta
Within the medical imaging domain, the segmentation of Lung Ultrasound (LUS) images is crucial for accurately defining regions of interest, particularly for lung health assessments. various techniques such as threshold-based, region-based, and edge-based methods have been employed to address this challenge, their accuracy and efficiency are often q...
Arfi, Mehar Yadav, Subhash Chandra Tripathi, Suman Lata
Published in
Engineering Research Express
A fully integrated Computer-Aided Diagnosis (CAD) system involves the integration of detection, segmentation, and classification, which makes it very useful for medical applications, particularly while dealing with the detection of breast mass and its classification into malignant and benign. The carried-out research work is intended to propose a B...
fencl, roman
Má bakalářská práce se zabývá segmentací obrazu pomocí konvolučních neuronových sítí. Nejprve popisuji problematiku počítačového vidění a konvolučních neuronových sítí, jejich vrstvy a průběh trénování. Následně představuji různé modely používané pro segmentaci a popisuji možnost využití předtrénovaných enkodérů VGG16 a ResNet50. Zabývám se použitý...
Lazić, Miha
Anotacija slik je ključen, a večkrat zamuden korak pri pripravi slikovnih podatkovnih zbirk. Poleg grafičnega vmesnika anotacijskega orodja, na hitrost anotacije vplivajo implementirani segmentacijski pristopi. Z razvojem globokega učenja na področju računalniškega vida se je pojavila možnost nadomestitve ročne anotacije in tradicionalnih segmentac...
Lys, Jonathan Lin, Frédéric Béliveau, Clément Pasdeloup, Bastien Decaestecker, Jules Bendou, Yassir Abdali, Aymane
In the realm of image classification, annotations often describe a single category. However, images might contain multiple objects including spurious ones with respect to the annotation. In few-shot image classification, where data is scarce, the ambiguity of these labels can severely impact classification performance. This paper addresses this iss...
Guo, Ronghui Cui, Haihua Jiang, Tao Deng, Yan Wan, Qing Cheng, Xiaosheng
Published in
Measurement Science and Technology
Lockbolt is increasingly utilized in different fields due to its good performance in riveting and locking. However, the digital measurement and evaluation methods for the riveting quality of lockbolts still need to be explored. In this paper, we proposed a point cloud-based automatic lockbolt detection method, estimating the riveting quality via th...
