# CNN-ALL

Matlab source code for the paper:

    A. Genovese, M. S. Hosseini, V. Piuri, K. N. Plataniotis, and F. Scotti, 

    "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning", 

    in Proc. of the 2021 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2021), 

    Toronto, ON, Canada, June 6-11, 2021, pp. 1205-1209. 

    ISBN: 978-1-7281-7605-5. [DOI: 10.1109/ICASSP39728.2021.9414362]

Paper:

https://ieeexplore.ieee.org/document/9414362

Project page:

https://iebil.di.unimi.it/cnnALL/index.htm

Outline:

![Outline](https://iebil.di.unimi.it/cnnALL/imgs/outline_icassp21.jpg "Outline")

Citation:

    @InProceedings {icassp21,

    author = {A. Genovese and M. S. Hosseini and V. Piuri and K. N. Plataniotis and F. Scotti},

    booktitle = {Proc. of the 2021 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2021)},

    title = {Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning},

    address = {Toronto, ON, Canada},

    pages = {1205-1209},

    month = {June},

    day = {6-11},

    year = {2021},

    note = {978-1-7281-7605-5}

    }

Main files:

    - launch_VARPCANet: main file

Required files:

    - ./imgs/orig/ALL-IDB/ALL_IDB2/img: Database of images, with filenames in the format "Im001_1.tif", 

    the images can be downloaded at: https://homes.di.unimi.it/scotti/all/

Part of the code uses the Matlab source code of the paper:

    T. Chan, K. Jia, S. Gao, J. Lu, Z. Zeng and Y. Ma, 

    "PCANet: A Simple Deep Learning Baseline for Image Classification?," 

    in IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5017-5032, Dec. 2015.

    DOI: 10.1109/TIP.2015.2475625

    http://mx.nthu.edu.tw/~tsunghan/Source%20codes.html

The 1Shot-MaxPol library:

    Mahdi S. Hosseini and Konstantinos N. Plataniotis 

    "Convolutional Deblurring for Natural Imaging," 

    IEEE Transactions on Image Processing, 2019.

    https://github.com/mahdihosseini/1Shot-MaxPol

The FQPath library:

    Hosseini, Mahdi S., Jasper AZ Brawley-Hayes, Yueyang Zhang, Lyndon Chan, Konstantinos N. Plataniotis, and Savvas Damaskinos

    "Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology." 

    IEEE Transactions on Medical Imaging (2019)

    https://github.com/mahdihosseini/FQPath

The Fast N-D Grayscale Image Segmentation library:

    Fast N-D Grayscale Image Segmenation With c- or Fuzzy c-Means

    https://github.com/AntonSemechko/Fast-Fuzzy-C-Means-Segmentation

The Stain Deconvolution library:

    SCD_FastICA

    https://github.com/lisatostrams/SCD_FastICA

and the Colour Image Normalization library:

    Finlayson, G., Schiele, B., & Crowley, J. (1998). 

    Comprehensive Colour Image Normalization. 

    Computer Vision—ECCV’98, 1406, 475–490. 

    https://doi.org/10.1007/BFb0055655

    https://it.mathworks.com/matlabcentral/fileexchange/60360-comprehensive-colour-normalization