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Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation
In this paper, we propose an efficient blood vessel segmentation method ...
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An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
This paper proposes an efficient solution for tumor segmentation and cla...
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MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network
Skin lesion segmentation in dermoscopic images is a challenge due to the...
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Hierarchical approach to classify food scenes in egocentric photo-streams
Recent studies have shown that the environment where people eat can affe...
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Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks
Mammogram analysis to manually extract breast masses is a tough assignme...
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MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams
First-person (wearable) camera continually captures unscripted interacti...
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REFUGE CHALLENGE 2018-Task 2:Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks
In this paper, an optic disc and cup segmentation method is proposed usi...
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CuisineNet: Food Attributes Classification using Multi-scale Convolution Network
Diversity of food and its attributes represents the culinary habits of p...
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SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
Skin lesion segmentation (SLS) in dermoscopic images is a crucial task f...
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Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
This paper proposes a novel approach for breast mass segmentation in mam...
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