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Ai Pathology

Ai Pathology
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Ai Pathology

Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

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Showing 1–20 of 50

AI Computational Pathology Pipeline Research
Internship building computational pathology pipelines from slide scan through AI-assisted report. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI Pathology Quality Assurance Research
Internship building pathology QA with AI second reads that flag discordant or missed findings. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
Machine Learning for Rare Pathology Diagnosis
Internship aiding rare pathology diagnosis with ML matching of cases against pooled references. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI Molecular Pathology Biomarker Research
Internship connecting molecular assays to slide findings with AI toward integrated pathology reports. Interns practise on genuine research problems.
5 focused areasClick to view more details →
Deep Learning for Neuropathology Analysis
Internship analysing neuropathology slides with deep models that quantify plaques, tangles, and loss. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Forensic Pathology Decision Support Research
Internship developing decision support for forensic pathology with AI review of findings and context. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Inflammatory Disease Pathology Research
Internship quantifying inflammatory disease on slides with AI scoring of infiltrates and damage. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Infectious Disease Pathology Research
Internship studying infectious disease pathology with AI detection of organisms and tissue response. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Pediatric Pathology Diagnosis Research
Internship supporting paediatric pathology diagnosis with AI tuned to childhood disease patterns. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Autopsy Data Mining Research
Internship mining autopsy records with AI to surface missed diagnoses and population disease patterns. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
Convolutional Neural Networks Histopathology Image Classification
Research developing and optimizing CNN architectures for automated classification of histological tissue samples across multiple cancer types and pathological conditions.
5 focused areasClick to view more details →
Digital Whole Slide Image Analysis Automation
Internship focused on building machine learning pipelines for processing gigapixel whole slide images and extracting clinically relevant pathological features.
5 focused areasClick to view more details →
Attention Mechanisms in Cancer Histology Detection
Research applying attention-based deep learning models to identify and localize malignant regions within pathological tissue images with explainable predictions.
5 focused areasClick to view more details →
Transfer Learning for Limited Pathology Datasets
Internship investigating pre-trained model fine-tuning and domain adaptation techniques to improve pathology AI performance with scarce annotated data.
5 focused areasClick to view more details →
Graph Neural Networks Tissue Microarray Analysis
Research developing graph-based learning methods to analyze spatial relationships between cells and tissues in microarray samples for diagnostic prediction.
5 focused areasClick to view more details →
Uncertainty Quantification in Pathology AI Predictions
Internship focused on implementing Bayesian deep learning and ensemble methods to quantify diagnostic confidence in automated pathology predictions.
5 focused areasClick to view more details →
Federated Learning for Multi-Hospital Pathology Data
Research developing privacy-preserving federated learning frameworks enabling collaborative AI model training across multiple pathology institutions without data sharing.
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Mitosis Detection and Cell Segmentation Networks
Internship focused on training and evaluating neural networks for accurate detection and segmentation of mitotic figures in histopathological images.
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Vision Transformer Models for Pathology Image Analysis
Research applying transformer-based computer vision architectures to pathology image classification and feature extraction tasks compared to traditional CNNs.
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Explainable AI for Pathologist Clinical Decision Support
Internship developing interpretability methods such as LIME and SHAP to provide clinically actionable explanations for AI pathology predictions.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹22,079
R · ₹32,115
3 Months
A · ₹29,032
T · ₹35,484
R · ₹51,613
6 Months
A · ₹64,517
T · ₹78,854
R · ₹1,14,696
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →