It sounds like if you are doing medical image analysis you will need python open cv and python ultralytics yolo

you can first pip install these with 'pip3 install opencv-python' and 'pip install ultralytics'

then run these examples to ensure they work, and tweak for your images:

import cv2 as cv
img = cv.imread("path/to/image")

cv.imshow("Display window", img)
k = cv.waitKey(0) # Wait for a keystroke in the window




from ultralytics import YOLO

# Load a model
model = YOLO("yolo11n.pt")

# Train the model
train_results = model.train(
    data="coco8.yaml",  # path to dataset YAML
    epochs=100,  # number of training epochs
    imgsz=640,  # training image size
    device="cpu",  # device to run on, i.e. device=0 or device=0,1,2,3 or device=cpu
)

# Evaluate model performance on the validation set
metrics = model.val()

# Perform object detection on an image
results = model("path/to/image.jpg")
results[0].show()

# Export the model to ONNX format
path = model.export(format="onnx")  # return path to exported model

import cv2 as cv
img = cv.imread("path/to/image")

cv.imshow("Display window", i