2 papers
cs.CV2026
A Human-in-the-Loop Framework for Efficient Prompt Selection in Microscopy Vision-Language Models
Abhiram Kandiyana, Ankur Mali, Lawrence O. Hall +2
Deep-learning pipelines for microscopy image classification often require expensive, labor- and time-intensive expert annotation to produce high-quality ground truth for training.…
eess.IV2025
Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Images
Abhiram Kandiyana, Peter R. Mouton, Yaroslav Kolinko +2
Traditional deep learning-based methods for classifying cellular features in microscopy images require time- and labor-intensive processes for training models. Among the current li…