image processing
7 notes, newest first.
MIRA: Medical Image Reflection for Agentic Diagnosis
The paper introduces MIRA (Medical Image Reflection for Agentic Diagnosis), a medical visual diagnostic framework designed to autonomously search for evidence and verify its relevance and consistency in image…
The Illusion of Visual Tool-Use: A Causal Audit of Thinking with Images
Researchers audit the effectiveness of using visual tools like crop-and-zoom in multimodal language models by creating a causal graph to separate observation-mediated paths from action-induced shortcuts. They find that…
ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
The paper introduces ClinFusion, a multimodal large language model designed for holistic medical understanding. It can handle both 2D and 3D medical images and outperforms other open-source and proprietary models on…
Bounding Boxes to Improve Small Language Model Performance on Vision-Based Grading Tasks
A research paper proposes using bounding boxes to improve the accuracy and efficiency of Small Language Models (SLMs) when grading handwritten student exams. The study finds that this method significantly enhances…
GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
Researchers have developed two new foundation models called GigaPath-Flash and GigaTIME-Flash for analyzing whole-slide pathology and predicting the tumor immune microenvironment from routine H&E images. These models…
EcoVision: AI-Powered Drone Imaging for Salt Marsh Vegetation Monitoring and Dominance Mapping
A new AI-powered drone imaging system called EcoVision has been developed for monitoring and mapping the dominance of two types of halophytic grasses in salt marshes. The system uses high-resolution RGB images from…
VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
The paper introduces VendorBench-100, a benchmark for evaluating deepfake image detection models across three paradigms: commercial APIs, zero-shot vision-language models (LLMs), and open-source detectors. The…
