Papers Organ Detection
“Organ Detection” 태그가 달린 논문 9편 · 필터 해제
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis
Surgical video understanding is pivotal for enabling automated intraoperative decision-making, skill assessment, and postoperative quality improvement. However, progress in developing surgical video foundation models (FM…
Action ClassificationBenchmarkingDecision MakingDomain Generalization+2MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection
Problem: Pancreas radiological imaging is challenging due to the small size, blurred boundaries, and variability of shape and position of the organ among patients. Goal: In this work we present MiniGPT-Pancreas, a Multim…
Cancer ClassificationChatbotLanguage ModelingLanguage Modelling+3Automating Sonologists USG Commands with AI and Voice Interface
This research presents an advanced AI-powered ultrasound imaging system that incorporates real-time image processing, organ tracking, and voice commands to enhance the efficiency and accuracy of diagnoses in clinical pra…
DiagnosticOrgan DetectionOrgan SegmentationSegmentation+1MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
This paper introduces MedTrinity-25M, a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million images across 10 modalities with multigranular annotations for more than 65 diseases. These mul…
Medical Visual Question AnsweringOrgan DetectionRetrieval-augmented GenerationVisual Question Answering (VQA)Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention
Plant species identification in the wild is a difficult problem in part due to the high variability of the input data, but also because of complications induced by the long-tail effects of the datasets distribution. Insp…
Fine-Grained Image Classificationobject-detectionObject DetectionOrgan DetectionDetection and Annotation of Plant Organs from Digitized Herbarium Scans using Deep Learning
As herbarium specimens are increasingly becoming digitized and accessible in online repositories, advanced computer vision techniques are being used to extract information from them. The presence of certain plant organs …
Organ DetectionA generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation
Deep learning based image segmentation has achieved the state-of-the-art performance in many medical applications such as lesion quantification, organ detection, etc. However, most of the methods rely on supervised learn…
DecoderImage SegmentationLesion SegmentationMedical Image Segmentation+5Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
State-of-the-art methods for object detection use region proposal networks (RPN) to hypothesize object location. These networks simultaneously predicts object bounding boxes and \emph{objectness} scores at each location …
object-detectionObject DetectionOrgan DetectionRegion ProposalA Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes
We propose a fully-automated method for accurate and robust detection and segmentation of potentially cancerous lesions found in the liver and in lymph nodes. The process is performed in three steps, including organ dete…
Computed Tomography (CT)DiversityLesion DetectionLesion Segmentation+2