Weakly Supervised Breast Lesion Detection in DCE-MRI using Self-Transfer Learning.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16296
Abstract: BACKGROUND Breast cancer is a typically diagnosed and life-threatening cancer in women. Thus, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly used for breast lesion detection and diagnosis because of the high resolution of soft… read more here.
Keywords: weakly supervised; breast; lesion detection; dce mri ... See more keywords
Comparison of automated versus hand-held breast US in supplemental screening in asymptomatic women with dense breasts: is there a difference regarding woman preference, lesion detection and lesion characterization?
Sign Up to like & getrecommendations! Published in 2020 at "Archives of Gynecology and Obstetrics"
DOI: 10.1007/s00404-020-05501-w
Abstract: Purpose To compare automated breast volumetric scanning (ABVS) with hand-held bilateral whole breast ultrasound (HHUS) prospectively in regards to patient workflow, woman preference, efficacy in lesion detection, and characterization. Materials and methods Supplemental screening was… read more here.
Keywords: lesion detection; hhus; abvs; hand held ... See more keywords
Artificial intelligence techniques for enhanced skin lesion detection
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-021-06150-0
Abstract: The timely diagnosis of skin lesion diseases is highly difficult for people living in rural or far flung areas due to dearth of qualified dermatologists. However, the dermatologists can diagnose skin lesion diseases by carefully… read more here.
Keywords: lesion detection; segmentation; skin lesion; lesion ... See more keywords
Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-46974-3
Abstract: Breast lesion detection employing state of the art microwave systems provide a safe, non-ionizing technique that can differentiate healthy and non-healthy tissues by exploiting their dielectric properties. In this paper, a microwave apparatus for breast… read more here.
Keywords: lesion detection; machine; machine learning; breast ... See more keywords
An optimized multi-task contrastive learning framework for HIFU lesion detection and segmentation
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-99783-2
Abstract: Accurate detection and segmentation of lesions induced by High-Intensity Focused Ultrasound (HIFU) in medical imaging remain significant challenges in automated disease diagnosis. Traditional methods heavily rely on labeled data, which is often scarce, expensive, and… read more here.
Keywords: detection; framework; segmentation; lesion detection ... See more keywords
Lesion detection in 18F-sodium fluoride bone imaging: a comparison of attenuation-corrected versus nonattenuation-corrected PET reconstructions from modern PET-CT systems
Sign Up to like & getrecommendations! Published in 2022 at "Nuclear Medicine Communications"
DOI: 10.1097/mnm.0000000000001487
Abstract: Objectives An earlier study demonstrated comparable lesion detection between attenuation-corrected (AC) and nonattenuation-corrected (NAC) 18F-sodium fluoride (NaF) PET images, which is relevant for computed tomography (CT) radiation dose-saving. However, this finding may not be applicable… read more here.
Keywords: versus; pet; bone; lesion detection ... See more keywords
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2017.2731873
Abstract: Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of a… read more here.
Keywords: lesion detection; detection; detection using; breast ultrasound ... See more keywords
A Corresponding Region Fusion Framework for Multi-modal Cervical Lesion Detection.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3178725
Abstract: Cervical lesion detection (CLD) using colposcopic images of multi-modality (acetic and iodine) is critical to computer-aided diagnosis (CAD) systems for accurate, objective, and comprehensive cervical cancer screening. To robustly capture lesion features and conform with… read more here.
Keywords: lesion detection; multi modal; region; lesion ... See more keywords
Spinal Lesion Detection in X-Ray Images via Edge Guidance and Context Aggregation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3527484
Abstract: Spinal diseases typically cause serious consequences such as limited mobility and nerve damage, making accurate diagnosis clinically important for effective treatment. X-ray imaging plays a crucial role in diagnosing spinal diseases, so effectively detecting spinal… read more here.
Keywords: edge; spinal lesion; lesion; lesion detection ... See more keywords
Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.4.4.041311
Abstract: Abstract. The work explores the use of denoising autoencoders (DAEs) for brain lesion detection, segmentation, and false-positive reduction. Stacked denoising autoencoders (SDAEs) were pretrained using a large number of unlabeled patient volumes and fine-tuned with… read more here.
Keywords: lesion detection; denoising autoencoders; segmentation; brain ... See more keywords
Medical Imaging Lesion Detection Based on Unified Gravitational Fuzzy Clustering
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Healthcare Engineering"
DOI: 10.1155/2017/8536206
Abstract: We develop a swift, robust, and practical tool for detecting brain lesions with minimal user intervention to assist clinicians and researchers in the diagnosis process, radiosurgery planning, and assessment of the patient's response to the… read more here.
Keywords: fuzzy clustering; lesion detection; fuzzy; unified gravitational ... See more keywords