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DiffULD: Diffusive Universal Lesion Detection
Universal Lesion Detection (ULD) in computed tomography (CT) plays an essential role in computer-aided diagnosis. Promising ULD results have been...
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From single to universal: tiny lesion detection in medical imaging
Accurate and automatic detection of tiny lesions in medical imaging plays a critical role in comprehensive cancer diagnosis, staging, treatment,...
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FDLM: An enhanced feature based deep learning model for skin lesion detection
Automated technologies are increasingly widespread in health care and are used to diagnose crucial disorders such as cancer cells. A skin lesion is a...
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CPSNet: a cyclic pyramid-based small lesion detection network
The presence of small lesions is an important marker for determining whether a patient will develop malignant tumors. Clinical practitioners could...
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Melanoma skin cancer detection using deep learning-based lesion segmentation
Extreme caution should be exercised while dealing with any form of skin cancer, but especially malignant melanoma. It’s also on the rise, especially...
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Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection
This paper presents a novel generic method to improve lesion detection by ensembling semantic segmentation and object detection models. The proposed...
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Improving Skin Lesion Diagnosis: Hybrid Blur Detection for Accurate Dermatological Image Analysis
Accurate diagnosis of skin lesions is crucial for early detection and effective treatment of dermatological conditions. However, blurry artifacts...
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Skin lesion analysis towards melanoma detection using optimized deep learning network
The deadliest form of skin lesion is known as melanoma. Detection of melanoma at earlier stages significantly raises the rate of survival....
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An Optimized MSER Using Bat Algorithm for Skin Lesion Detection
Detecting regions of interest in skin lesion images is of great significance in dermatological image analysis. In this article, we present a novel...
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A Real-Time Network for Fast Breast Lesion Detection in Ultrasound Videos
Breast cancer stands as the foremost cause of cancer-related deaths among women worldwide. The prompt and accurate detection of breast lesions...
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Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT Studies
Radiological follow-up of oncological patients requires the analysis and comparison of multiple unregistered scans acquired every few months. This...
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Enhancing Anomaly Detection in Melanoma Diagnosis Through Self-Supervised Training and Lesion Comparison
Melanoma, a highly aggressive form of skin cancer notorious for its rapid metastasis, necessitates early detection to mitigate complex treatment...
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MURA-objects: a radioactive bone imaging lesion detection dataset
The computer-aided diagnosis technology needs to determine whether the bone image is abnormal and needs to locate the location of the lesions...
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Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection
Early diagnosis of prostate cancer is crucial for efficient treatment. Multi-parametric Magnetic Resonance Images (mp-MRI) are widely used for lesion...
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Chronological Dingo Optimizer-based Deep Maxout Network for skin cancer detection and skin lesion segmentation using Double U-Net
Skin cancer is a dreadful disease, which is mainly caused due to the heavy exposure of the human body to the ultraviolet rays emitted from the sun....
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Vision Transformer Based Multi-class Lesion Detection in IVOCT
Cardiovascular disease is a high-fatality illness. Intravascular Optical Coherence Tomography (IVOCT) technology can significantly assist in...
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Skin lesion detection using an ensemble of deep models: SLDED
Skin cancer is a major public health concern and the most common type of cancer among the other types. Reliable automated classification systems will...
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Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation
As the community progresses towards automated Universal Lesion Detection (ULD), it is vital that the techniques developed are robust and easily...
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Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images
Deep neural networks have recently achieved impressive performance of automated tumor/lesion quantification with positron emission tomography (PET)...
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Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation
Retinal fundus images have been widely utilized for screening Diabetic Retinopathy (DR). The lesion information contained in these images is...
