India’s
digital diagnostics industry,
in focus.

Breast Imaging CAD Challenges

33.3% of this theme group

Researchers highlight difficulties in segmenting and diagnosing breast cancer with computer‑aided tools.

Segmentation (4) · Breast cancer (3) · Computer-aided diagnosis (5)

Computer-aided detection and characterization of stroke lesion – a short review on the current state-of-the art methods

Study of the Current Trends of CAD (Computer-Aided Detection) in Modern Medical Imaging

Lung Cancer Detection Issues

29.2% of this theme group

Studies point to obstacles in reliable CAD for lung cancer on radiology images.

Lung cancer (4) · Computer-aided diagnosis (7) · Lung (2) · Radiology (2)

Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study

Lung cancer diagnosis from CT images using CAD system: a review

Retinal Disease Diagnosis Gaps

25.0% of this theme group

Works note limitations in fundus‑based computer‑aided detection of diabetic and hypertensive retinopathy.

Diabetic retinopathy (4) · Fundus (3) · Retinopathy (2) · Computer-aided diagnosis (2)

Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification

Hypertensive Retinopathy Screening through Fundus Images-A Review

Breast Cancer Classification Limits

12.5% of this theme group

Authors discuss shortcomings of current image classification methods for breast cancer.

Breast cancer (2)

Breast Cancer Image Classification: A Review

Image Classification for Breast Cancer Using a Modified Convolution Neural Network Architecture

Advanced Breast Mammography Segmentation

24.6% of this theme group

Opportunities focus on improving segmentation and pattern recognition for mammogram analysis.

Breast cancer (55) · Mammography (49) · Segmentation (30) · Pattern recognition (36)

Classification of breast cancer mammogram images using convolution neural network

Performance Analysis of Segmentation Algorithms for the Detection of Breast Cancer

Hybrid Deep‑Learning for Tumor Imaging

18.7% of this theme group

Research explores combining convolutional networks with classic classifiers for brain tumor detection.

Pattern recognition (47) · Segmentation (26) · Convolutional neural network (19) · Support vector machine (14)

Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System

Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices

Lung Cancer CT Deep Learning

17.2% of this theme group

Papers propose enhanced convolutional approaches for segmenting and recognizing lung cancer in CT scans.

Lung cancer (25) · Convolutional neural network (22) · Segmentation (26) · Pattern recognition (27)

Deep Learning Algorithm for Classification and Prediction of Lung Cancer using CT Scan Images

A Comparative study of Lung Cancer Detection and Classification approaches in CT images

COVID‑19 Imaging Diagnosis

14.2% of this theme group

Studies develop pattern‑recognition systems for detecting pneumonia and related conditions in chest images.

Coronavirus disease 2019 (7) · Computer-aided diagnosis (20) · Pneumonia (5) · Pattern recognition (23)

Computer‐aided diagnosis system for the detection of bronchiectasis in chest computed tomography images

Computer aided medical image analysis for capsule endoscopy using conventional machine learning and deep learning

Lung Nodule CAD Advances

10.1% of this theme group

Works target better computer‑aided detection and classification of lung nodules in radiology.

Computer-aided diagnosis (25) · Lung cancer (13) · Radiology (9) · Nodule (7)

Overview of Computer Aided Detection and Computer Aided Diagnosis Systems for Lung Nodule Detection in Computed Tomography

A Computer Aided Diagnosis System for Lung Cancer Detection \Using Support Vector Machine

Retinal Disease Multi‑Domain Fusion

10.1% of this theme group

Research highlights fusion techniques for diagnosing glaucoma and diabetic retinopathy from fundus images.

Glaucoma (15) · Fundus (15) · Diabetic retinopathy (12) · Retinal (7)

Computer‐aided diagnosis of retinal diseases using multidomain feature fusion

Automated Classification of Glaucoma Using Retinal Fundus Images

Ultrasound Liver Cancer Detection

5.1% of this theme group

Papers investigate neural and transform‑based methods for identifying liver tumors in ultrasound and CT.

Ultrasound (4) · Computer-aided diagnosis (9) · Contourlet (3) · Liver cancer (2)

Assessment of Neural Network Based Classifiers to Diagnose Focal Liver Lesions Using CT Images

Contourlet Transform based Computer-Aided Diagnosis system for liver tumors on computed tomography images

Bengaluru

31.1% across the displayed hubs

12 companies hiring · $228.2M disclosed funding

Hyderabad

14.4% across the displayed hubs

6 companies hiring · $10.5M disclosed funding

Mumbai

12.5% across the displayed hubs

12 companies hiring · $181.9M disclosed funding

Chennai

10.6% across the displayed hubs

3 companies hiring · $50.9M disclosed funding

Pune

10.4% across the displayed hubs

6 companies hiring · $13.9M disclosed funding

Delhi

10.1% across the displayed hubs

5 companies hiring · $59.1M disclosed funding

Gurugram

6.1% across the displayed hubs

4 companies hiring · $1.4M disclosed funding

Ahmedabad

4.7% across the displayed hubs

3 companies hiring · $31.3K disclosed funding