breast-cancer-toolkit 1.1.0

Description:

breastcancertoolkit 1.1.0

BCT

Machine learning toolkit designed to support data scientists in breast cancer detection, classification and analysis.

Installation
Install the package with:
pip install breast-cancer-toolkit

Usage as CLI
Convert the DCM files into TIFF format recursively with the same basename.
parallel bct convert {} {.}.tiff ::: **/*.dcm

Usage as library
Models
Remove background with instance segmentation



Model
Training data
Resolution
# of samples seen
IoU
Accuracy













Data sources



Source
Argument
Type
Notes




image
'image.jpg'
str or Path
Single image file. Format supported: jgp, png, dcm, tiff


URL
'https://ultralytics.com/images/bus.jpg'
str
URL to an image.


screenshot
'screen'
str
Capture a screenshot.


PIL
Image.open('im.jpg')
PIL.Image
HWC format with RGB channels.


OpenCV
cv2.imread('im.jpg')
np.ndarray
HWC format with BGR channels uint8 (0-255).


numpy
np.zeros((640,1280,3))
np.ndarray
HWC format with BGR channels uint8 (0-255).


torch
torch.zeros(16,3,320,640)
torch.Tensor
BCHW format with RGB channels float32 (0.0-1.0).


CSV, json, xlsx
'sources.csv'
str or Path
CSV file containing paths to images, videos, or directories.


video
'video.mp4'
str or Path
Video file in formats like MP4, AVI, etc.


directory
'path/'
str or Path
Path to a directory containing images or videos.


glob
'path/*.jpg'
str
Glob pattern to match multiple files. Use the * character as a wildcard.


YouTube
'https://youtu.be/LNwODJXcvt4'
str
URL to a YouTube video.


stream
'rtsp://example.com/media.mp4'
str
URL for streaming protocols such as RTSP, RTMP, TCP, or an IP address.


multi-stream
'list.streams'
str or Path
*.streams text file with one stream URL per row, i.e. 8 streams will run at batch-size 8.



Note
This project has been set up using PyScaffold 4.5 and the dsproject extension 0.0.post1.dev166+g2aaddf7.d20240514.