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We will use the Convolutional Neural Networks, to classify the cancer cells into Normal and Cancer cells. Two custom models and two models on transfer learning.

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ALL_Deep_Learning.ipynb

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ALL-Detection-Using-CNN

Acute Lymbhoblastic Luekemia is a blood malignancy which affects the WBCs.We have come up with an automated system, which aims to reduce the time constraints and the give maximum accuracy by using Convolutional Nueral Networks(Deep Learning !). We first segment the cancer cells and then the normal cells. Then we undergo further classification to seperate the L1, L2, and L3 forms of cancer cells (According to FAB classification).

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We will use the Convolutional Neural Networks, to classify the cancer cells into Normal and Cancer cells. Two custom models and two models on transfer learning.

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deep-neural-networks cancer tensorflow transfer-learning vgg16 cnn-keras keras-tensorflow nueral-networks alexnet-model imagedetection

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