One-shot Localization and Segmentation of Medical Images with Foundation Models

Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image correspondence tasks on natural images. In this paper, we examine the ability of a variety of pre-trained ViT (DINO, DINOv2, SAM, CLIP) and SD models, trained exclusively on natural images, for solving the correspondence problems on medical images. While many works have made a case for in-domain training, we show that the models trained on natural images can offer good performance on medical images across different modalities (CT,MR,Ultrasound) sourced from various manufacturers, over multiple anatomical regions (brain, thorax, abdomen, extremities), and on wide variety of tasks. Further, we leverage the correspondence with respect to a template image to prompt a Segment Anything (SAM) model to arrive at single shot segmentation, achieving dice range of 62%-90% across tasks, using just one image as reference. We also show that our single-shot method outperforms the recently proposed few-shot segmentation method - UniverSeg (Dice range 47%-80%) on most of the semantic segmentation tasks(six out of seven) across medical imaging modalities.Comment: Accepted at NeurIPS 2023 R0-FoMo Worksho

Audiological Outcome of Classical Adenoidectomy versus Endoscopically-Assisted Adenoidectomy using a Microdebrider

Introduction: The aim of this study was to evaluate audiological outcomes following adenoidectomy by the classical method and by endoscopically-assisted adenoidectomy using a powered instrument (microdebrider).   Materials and Methods: This study was conducted in a tertiary care center. It included 40 patients divided into two equal groups of 20 each. Group-A patients underwent classical adenoidectomy, while Group-B patients were subjected to endoscopically-assisted adenoidectomy using a microdebrider. Hearing outcome was measured by post-operative pure-tone audiometry and tympanometry.   Results: The post-operative average air-bone gap (ABG) was reduced from 19.6 dB to 11.8 dB in Group A and from 17.6 dB to 8.7 dB in Group B (P=0.010). There was reversal of tympanometric curves from type-B and type-C to type-A in 55% of the patients in Group A, while type-A curve was seen in 90% cases in Group B in the post-operative period.   Conclusion:  Audiological outcomes of endoscopically-assisted adenoidectomy using a microdebrider were superior compared with classical adenoidectomy