SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22591
Abstract: Low contrast images and blurriness pose challenge in the over‐segmentation of image, which increases model complexities. In this work, a novel hybrid dermoscopic skin‐lesion segmentation method, namely SLICACO, is proposed incorporating the simple linear iterative… read more here.
Keywords: novel hybrid; segmentation; skin lesion; lesion ... See more keywords
Skin lesion segmentation using an improved framework of encoder‐decoder based convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22699
Abstract: Automatic lesion segmentation is a key phase of skin lesion analysis that significantly increases the performance of subsequent classification steps. Segmentation is a highly complex task due to the varying nature of lesions, such as… read more here.
Keywords: network; skin lesion; convolutional neural; segmentation ... See more keywords
A deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22723
Abstract: Diabetic Retinopathy (DR) is a diabetic mellitus complication that causes vision impairment and may lead to permanent blindness. The early signs of DR that appear on the retinal surface are microaneurysms, hemorrhages, hard exudates, and… read more here.
Keywords: retinal lesion; response texton; maximum response; multi retinal ... See more keywords
Multiscale Dynamic Attention Framework for Skin Lesion Segmentation and Classification
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DOI: 10.1002/ima.70130
Abstract: This paper proposes a multitask deep learning framework for simultaneous skin lesion segmentation and classification, tailored for resource‐constrained environments. The architecture integrates ShuffleNet as an encoder within a U‐Net framework as a decoder to extract… read more here.
Keywords: skin lesion; framework; segmentation; lesion segmentation ... See more keywords
HFCF‐Net: A hybrid‐feature cross fusion network for COVID‐19 lesion segmentation from CT volumetric images
Sign Up to like & getrecommendations! Published in 2022 at "Medical Physics"
DOI: 10.1002/mp.15600
Abstract: Abstract Background The coronavirus disease 2019 (COVID‐19) spreads rapidly across the globe, seriously threatening the health of people all over the world. To reduce the diagnostic pressure of front‐line doctors, an accurate and automatic lesion… read more here.
Keywords: cross fusion; hfcf net; lesion; segmentation ... See more keywords
Multi-scale discriminative network for prostate cancer lesion segmentation in multiparametric MR images.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15861
Abstract: PURPOSE The accurate and reliable segmentation of prostate cancer (PCa) lesions using multiparametric magnetic resonance imaging (mpMRI) sequences, is crucial to the image-guided intervention and treatment of prostate disease. For PCa lesion segmentation, it is… read more here.
Keywords: network; multi scale; prostate cancer; segmentation ... See more keywords
Skin Lesion Segmentation with Improved Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-020-00343-z
Abstract: Recently, the incidence of skin cancer has increased considerably and is seriously threatening human health. Automatic detection of this disease, where early detection is critical to human life, is quite challenging. Factors such as undesirable… read more here.
Keywords: network; method; skin lesion; lesion ... See more keywords
Robust optimization of SegNet hyperparameters for skin lesion segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11032-6
Abstract: Melanoma is considered the deadliest form of skin cancer, and the number of cases is increasing day by day. The early diagnosis of melanoma is critical, as it significantly increases the patient’s chance of survival.… read more here.
Keywords: lesion segmentation; segnet; optimization; skin lesion ... See more keywords
Toward automated segmentation for acute ischemic stroke using non-contrast computed tomography
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-022-02570-x
Abstract: Non-contrast computed tomography (NCCT) is a first-line imaging technique for determining treatment options for acute ischemic stroke (AIS). However, its poor contrast and signal-to-noise ratio limit the diagnosis accuracy for radiologists, and automated AIS lesion… read more here.
Keywords: lesion segmentation; segmentation; non contrast; model ... See more keywords
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102231
Abstract: Precise segmentation is in demand for hepatocellular carcinoma or metastasis clinical diagnosis due to the heterogeneous appearance and diverse anatomy of the liver on scanned abdominal computed tomography (CT) images. In this study, we present… read more here.
Keywords: segmentation; lesion segmentation; multi scale; liver lesion ... See more keywords
Skin lesion segmentation using high-resolution convolutional neural network
Sign Up to like & getrecommendations! Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105241
Abstract: BACKGROUND AND OBJECTIVE Skin lesion segmentation is an important but challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation methods based on convolutional neural networks often fail to extract accurate lesion boundaries because the… read more here.
Keywords: high resolution; network; skin lesion; lesion ... See more keywords