goknur arican's repositories
BCCD_Dataset
BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.
blood-cells-object-detection-and-classification
This is an individual project on Image Processing and Computer Vision course about blood cells object detection and classification.
Complete-Blood-Cell-Count-Dataset
The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.
cs-video-courses
List of Computer Science courses with video lectures.
cs224u
Code for Stanford CS224u
CT-GAN
A GAN based framework for adding and removing medical evidence in 3D volumetric medical scans
Detecting-WBC-subtypes-in-Blood
A classifier to identify and differentiate between 4 of the 5 WBC(White Blood Cells) subtypes
LungCancerDetection
Use CNN to detect nodules in LIDC dataset.
white-blood-cell-identification
white blood cell identification
openwifi
open-source IEEE 802.11 WiFi baseband FPGA (chip) design: driver, software
Python
All Algorithms implemented in Python
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
tekno-kizil
KASIRGA - KIZIL Takımı Teknofest 2023 Çip Tasarımı - KIZIL İşlemci Projesi
TurkeyLearningInitiative
TLI offers educational resources for earthquake-affected communities in Turkey. Find a comprehensive curriculum and detailed course materials in this repository, covering a range of subjects. Join the effort to support continued education and make a difference.
u-net-brain-tumor
U-Net Brain Tumor Segmentation
WBC-Classification
Classification of WBC ( White Blood Cells ) with CNN . (Convolutional Neural Network)
WBC_Segmentaion
White Blood Cell Image Segmentation Using Deep Convolution Neural Networks
White-Blood-Cells-Classification
An important problem in blood diagnostics is classifying different types of blood cells. Various samples of dead WBCs have been used to identify the nuclearity (mononuclear or polynuclear) of them and classified as well using Convolutional Neural Networks . The WBCs in the data set are lymphocytes , monocytes , neutrophils , eosinophils , basophils