Options for Image Classification using Machine Learning

I would like to use MATLAB Machine learning (ideally not Deep Learning due to limited training data) to detect and classify cells in microscope images. I would first like to 1) detect cells in the images and 2) classify the cell as either living or dead. Is this possible with MATLAB? It seems like there are several options to do this, one of which being semantic segmentation using machine learning then thresholding the image. However, I'm not sure how to perform the secondary classification of live/dead. It looks like I can use either object recognition or object detection to classify as live or dead based on this: https://www.mathworks.com/solutions/image-video-processing/object-recognition.html#:~:text=Object%20Recognition%20vs.&text=Object%20detection%20is%20the%20process,also%20located%20in%20an%20image, but I would like to hear others' thoughts before I invest a significant amount of time into this.

Answer 1

[yanqi liu]

sir，detect and classify，may be consider yolo to do，if do not use DeepLearning method，may be consider some segment method and local feature to detect and classify the target

may be upload some image to analysis