Skip to content

Instantly share code, notes, and snippets.

View sushmanthreddy's full-sized avatar
💭
I may be slow to respond.

sushmanth reddy sushmanthreddy

💭
I may be slow to respond.
View GitHub Profile
@sushmanthreddy
sushmanthreddy / GSoC2023FinalSubmission.md
Last active October 21, 2023 11:15
CellSAM: Fine-Tuning Segment Anything Model on C. elegans Cell Images GSoC 2023

CellSAM

CellSAM is an advanced adaptation of the SAM, meticulously fine-tuned for the unique challenges posed by microscopy imaging. Microscopy images, especially those capturing cellular structures and activities, present intricate details that standard models might overlook. The inherent complexity, coupled with varying levels of noise, contrast, and sometimes even artifacts, necessitates a model with a heightened sense of focus and discernment, qualities epitomized by CellSAM

The genesis of CellSAM is rooted in the recognition that microscopy images, especially of cells, are replete with nuances. Cellular structures, organelles, and even intricate processes like mitosis, present patterns that are both intricate and crucial for accurate analysis. A model tailored for such images needs to be attuned not just to broad patterns but also to the minutiae, a task where the SAM excels

Whether it's imaging yeast cells, bacteria, or even multicellular organisms like zebr