South Korea’s
digital diagnostics industry,
in focus.

Pulmonary Nodule Detection Gaps

31.4% of this theme group

Researchers highlight shortcomings in current computer‑aided methods for finding lung nodules on chest images.

Nodule (9) · Computer-aided diagnosis (26) · Lung (7) · Lung cancer (8)

Computer-aided Detection Improves Detection of Pulmonary Nodules in Chest Radiographs beyond the Support by Bone-suppressed Images

New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs

Skin Cancer CAD Limitations

28.9% of this theme group

Studies point to persistent challenges in applying computer‑aided diagnosis to skin lesion imaging.

Computer-aided diagnosis (24) · Computer-aided (5) · Medical diagnosis (4) · Skin cancer (3)

Evaluation of computer-aided detection and diagnosis systems^a)

Computer aided detection and diagnosis in medical imaging

Breast Imaging Pre‑processing Issues

24.0% of this theme group

Works expose weaknesses in preprocessing and CAD pipelines for mammography‑based breast cancer detection.

Mammography (20) · Breast cancer (19) · Breast imaging (4) · Preprocessor (5)

Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review

Image processing and machine learning techniques used in computer-aided detection system for mammogram screening - a review

Diabetic Retinopathy Diagnosis Hurdles

15.7% of this theme group

Literature notes difficulties in reliable automated grading of retinal images for diabetic eye disease.

Diabetic retinopathy (10) · Fundus (6) · Retinopathy (5) · Retinal (4)

Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy

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

Breast CAD Over‑reliance Concerns

36.2% of this theme group

Authors caution that computer‑aided tools may mislead clinicians in mammography and MRI breast assessments.

Mammography (16) · Breast cancer (12) · Digital mammography (5) · Computer-aided diagnosis (8)

Application of CAD in the diagnosis of breast cancer

Computer‐Aided Detection in Breast Magnetic Resonance Imaging: a Review

Algorithmic Bias in MRI CAD

36.2% of this theme group

Papers warn about potential bias and misinterpretation when using pattern‑recognition models for magnetic resonance imaging.

Pattern recognition (5) · Support vector machine (4) · Computer-aided diagnosis (8) · Magnetic resonance imaging (3)

How to Discriminate between Computer-Aided and Computer-Hindered Decisions

Multi-Reader Multi-Case Study for Performance Evaluation of High-Risk Thyroid Ultrasound with Computer-Aided Detection

Evaluation Metric Pitfalls

19.0% of this theme group

Research stresses that ROC‑based metrics can obscure true performance of lung nodule detection systems.

Receiver operating characteristic (4) · Radiography (3) · Nodule (3) · Lung cancer (3)

Observer training for computer-aided detection of pulmonary nodules in chest radiography

Impact of Voxel Normalization on Machine Learning-Based Method: A Study on Pulmonary Nodule Malignancy Diagnosis Using Low-Dose Computed Tom

Colonoscopy CAD Validation Gaps

8.6% of this theme group

Studies highlight insufficient clinical validation of computer‑aided detection for colorectal polyp identification.

Colonoscopy (5) · Virtual colonoscopy (2) · Colorectal Polyp (2) · Computer-aided diagnosis (3)

Computer-aided diagnosis for colonoscopy

Colonic polyps: application value of computer-aided detection in computed tomographic colonography.

Advanced Segmentation Techniques

20.1% of this theme group

Emerging work explores sophisticated segmentation and pattern‑recognition methods to improve diagnostic imaging.

Pattern recognition (381) · Segmentation (254) · Image segmentation (83) · Support vector machine (121)

Computer-Aided Pathology Image Classification and Segmentation Joint Analysis Model

Application of Computer-Aided Diagnosis Technology in Brain Tumour Detection

Broad Radiology CAD Expansion

18.9% of this theme group

Large‑scale efforts aim to extend computer‑aided diagnosis across diverse radiology modalities, including virtual colonoscopy.

Computer-aided diagnosis (385) · Computer-aided (47) · Radiology (76) · Virtual colonoscopy (18)

Computer Aided Diagnosis System for Detection of Lung Cancer in CT Scan Images

Computer-aided detection systems to improve lung cancer early diagnosis: state-of-the-art and challenges

Multimodal Breast Imaging Fusion

16.2% of this theme group

Research pursues integrated analysis of mammography, ultrasound, and MRI for more accurate breast cancer detection.

Breast cancer (260) · Breast ultrasound (76) · Mammography (156) · Breast MRI (36)

Classification of breast cancer mammogram images using convolution neural network

A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques

Lung Cancer Early Detection

16.1% of this theme group

Innovations target rapid, automated identification of pulmonary nodules and cancers from CT scans.

Lung cancer (141) · Nodule (116) · Lung (86) · Computer-aided diagnosis (184)

Analysis of various classification techniques for computer aided detection system of pulmonary nodules in CT

A computer aided diagnosis system for detection of lung nodules from series of CT slices

Deep Learning Transfer for COVID‑19

11.9% of this theme group

Studies apply transfer learning and convolutional networks to diagnose COVID‑19 and related lung pathologies.

Convolutional neural network (311) · Transfer of learning (57) · Coronavirus disease 2019 (37) · Pattern recognition (152)

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different i

Computer‐Aided Diagnosis Research of a Lung Tumor Based on a Deep Convolutional Neural Network and Global Features

Microcalcification Pattern Recognition

11.0% of this theme group

Efforts focus on detecting subtle mammographic microcalcifications using advanced texture and machine‑learning features.

Mammography (271) · Digital mammography (56) · Microcalcification (41) · Pattern recognition (166)

Textural features based computer aided diagnostic system for mammogram mass classification

Computer aided detection of breast masses in mammography using support vector machine classification

Retinal Disease Multi‑Task Models

5.9% of this theme group

New models aim to simultaneously detect diabetic retinopathy, glaucoma, and other retinal abnormalities.

Diabetic retinopathy (82) · Fundus (94) · Retinal (50) · Glaucoma (39)

Proposed retinal abnormality detection and classification approach: Computer aided detection for diabetic retinopathy by machine learning ap

Computer Aided Diagnosis for Diabetic Retinopathy based on Fundus Image

Seoul

71.0% across the displayed hubs

6 companies hiring · $552.5M disclosed funding

Seongnam-Si

10.5% across the displayed hubs

0 companies hiring · $13.5M disclosed funding

Daejeon

5.7% across the displayed hubs

0 companies hiring · $600.0K disclosed funding

Suwon-Si

3.3% across the displayed hubs

0 companies hiring · $0 disclosed funding

Anyang

3.3% across the displayed hubs

0 companies hiring · $0 disclosed funding

Cheonan

2.4% across the displayed hubs

0 companies hiring · $0 disclosed funding

Yuseong District

1.9% across the displayed hubs

0 companies hiring · $0 disclosed funding

Yongin Si

1.9% across the displayed hubs

0 companies hiring · $0 disclosed funding