IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2025-B1133-KU

Students Requirements

General discipline

Computer Science / Informatics

Completed Years of Study

3

Fields of Study

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

-

Work Details

Duration

10 - 10 Weeks

Within These Dates

21.07.2025 - 10.10.2025

Holidays

NONE

Work Environment

-

Gross pay

10000 INR / month

Working Hours

40.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

IAESTE- LC KARUNYA

Cost of lodging

5000 INR / month

Cost of living

8000 INR / month

Work Offered

Additional Info

This offer is from the Department of Biomedical Engineering.The intern will be working on deep-learning algorithms for medical imaging to improve cancer detection.

Work description

Deep Learning for Cancer Diagnosis Utilizing Sophisticated Algorithms in Medical ImagingOverview: Deep learning algorithms have revolutionized medical imaging and can accurately diagnose cancer through analyzing medical images. This research uses advanced deep-learning methods to improve accuracy and patient outcomes.Objectives:1. Choose advanced deep-learning models specialized for medical image analysis. Apply and optimize the selected algorithm to efficiently handle the provided image data.2. To analyze medical images for a specific cancer type, gather a high-quality dataset, and preprocess it through normalization, augmentation, and noise reduction. Use advanced deep learning models and optimize the selected algorithm for efficient analysis.3. Optimize cancer detection using transfer learning and ensemble methods in a training pipeline.Benefits:1. Interns will work with deep learning algorithms to improve their neural network skills.2. Interns will work closely with experienced professionals in deep learning and medical imaging.3. Improving technical skills in programming, data preprocessing, and model evaluation is crucial for success in data science and AI.

Deadline

19.10.2024