Hiroshi Fujita 研究室

主宰者：Hiroshi Fujita

岐阜大学

AI 要約（直近 5 年の研究成果）

この研究室では、医療画像から疾患の診断・予後予測を支援するAI技術の開発に取り組んでいます。具体的には、X線撮影、CT、内視鏡、細胞診などの医療画像を対象に、深層学習（ディープラーニング）を用いて病変部位の自動検出・分類、臓器や筋肉の自動抽出を行うシステムを構築しています。研究対象は肺がん、乳がん、胃がん、脳梗塞、不整脈など多岐にわたり、放射線科医や臨床医の診断業務を効率化することを目指しています。技術的には、一般的な画像認識手法（U-Netなどのセグメンテーション、YOLOなどの物体検出、畳み込みニューラルネットワーク）に加えて、近年のビジョン言語モデルやテキスト生成技術を応用した研究が進められています。特に、医療画像から自動で診断レポートを生成する手法や、データ不足に対応するための生成AI活用による学習データの拡充、複数回の検証ループによる出力信頼度の向上といった工夫が報告されています。これらの技術開発を通じて、医師の負担軽減と診断精度の向上を両立させ、臨床現場で実際に運用可能なAI支援システムの実現を目指しています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（51 件）

[2026] Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotations
DOI: https://doi.org/10.1007/s11548-026-03608-0
[2026] Generating Findings for Jaw Cysts in Dental Panoramic Radiographs Using a GPT-Based VLM: A Preliminary Study on Building a Two-Stage Self-Correction Loop with a Structured Output (SLSO) Framework
DOI: https://doi.org/10.3390/diagnostics16071096
[2025] Automated Description Generation of Cytologic Findings for Lung Cytological Images Using a Pretrained Vision Model and Dual Text Decoders: Preliminary Study
DOI: https://doi.org/10.1111/cyt.13474
[2025] Preliminary Study on Image-Finding Generation and Classification of Lung Nodules in Chest CT Images Using Vision–Language Models
DOI: https://doi.org/10.3390/computers14110489
[2025] Improved denoising scheme using three-dimensional multi-zone convolutional neural filters in dedicated breast positron emission tomography images
DOI: https://doi.org/10.1007/s12194-025-00949-4
[2025] Dual-perspective virtual unfolding U-Net (DPVU-Net) models for comprehensive superficial skeletal muscles segmentation in CT images
DOI: https://doi.org/10.1117/12.3046897
[2025] Automated scheme of plaque classification based on segmentation in carotid ultrasound images using transformer approach
DOI: https://doi.org/10.1007/s10396-025-01522-7
[2025] Atypical periprosthetic femoral fractures around cemented stems: Radiographic features and clinical implications from a multicenter study
DOI: https://doi.org/10.1016/j.bone.2025.117741
[2024] Joint segmentation of sternocleidomastoid and skeletal muscles in computed tomography images using a multiclass learning approach
DOI: https://doi.org/10.1007/s12194-024-00839-1
[2024] Atrial Fibrillation Type Classification by a Convolutional Neural Network Using Contrast-Enhanced Computed Tomography Images
DOI: https://doi.org/10.3390/computers13120309

続きを表示（残り 41 件）

[2024] Automated Generation of Lung Cytological Images from Image Findings Using Text-to-Image Technology
DOI: https://doi.org/10.3390/computers13110303
[2024] Intrinsic subtype classification of breast cancers on mammograms using local selective patches
DOI: https://doi.org/10.1117/12.3008738
[2023] Deep learning system to predict the three‐dimensional contact status between the mandibular third molar and mandibular canal using panoramic radiographs
DOI: https://doi.org/10.1002/osi2.1177
[2023] Simultaneous Learning of Erector Spinae Muscles for Automatic Segmentation of Site-Specific Skeletal Muscles in Body CT Images
DOI: https://doi.org/10.1109/access.2023.3335948
[2023] A position-adaptive noise-reduction method using a deep denoising filter bank for dedicated breast positron emission tomography images
DOI: https://doi.org/10.1007/s13246-023-01343-3
[2023] Hybrid Multiple-Organ Segmentation Method Using Multiple U-Nets in PET/CT Images
DOI: https://doi.org/10.3390/app131910765
[2023] Recognition of tooth numbers and conditions on dental panoramic radiographs for assisting dental chart filing
DOI: https://doi.org/10.1117/12.2655306
[2023] Prediction of Short-Term Mortality of Cardiac Care Unit Patients Using Image-Transformed ECG Waveforms
DOI: https://doi.org/10.1109/jtehm.2023.3250352
[2022] Automated Classification of Idiopathic Pulmonary Fibrosis in Pathological Images Using Convolutional Neural Network and Generative Adversarial Networks
DOI: https://doi.org/10.3390/diagnostics12123195
[2022] Investigation on continual training of computer-aided diagnosis systems by semi-supervised learning
DOI: https://doi.org/10.1145/3524086.3524095
[2022] Detection and Characterization of Gastric Cancer Using Cascade Deep Learning Model in Endoscopic Images
DOI: https://doi.org/10.3390/diagnostics12081996
[2022] Deep learning for preliminary profiling of panoramic images
DOI: https://doi.org/10.1007/s11282-022-00634-x
[2022] Tooth recognition of 32 tooth types by branched single shot multibox detector and integration processing in panoramic radiographs
DOI: https://doi.org/10.1117/1.jmi.9.3.034503
[2022] Automated segmentation of oblique abdominal muscle based on body cavity segmentation in torso CT images using U-Net
DOI: https://doi.org/10.1117/12.2624316
[2022] Detection and classification of 32 tooth types in dental panoramic radiographs using single CNN model and post-processing
DOI: https://doi.org/10.1117/12.2625961
[2022] Comparison of Fine-Tuned Deep Convolutional Neural Networks for the Automated Classification of Lung Cancer Cytology Images with Integration of Additional Classifiers
DOI: https://doi.org/10.31557/apjcp.2022.23.4.1315
[2022] Comparison of Fine-Tuned Deep Convolutional Neural Networks for the Automated Classification of Lung Cancer Cytology Images with Integration of Additional Classifiers.
DOI: https://doi.org/10.31557/apjcp.2022.23.4.1315
[2022] Intrinsic subtype classification of breast lesions on mammograms by contrastive learning
DOI: https://doi.org/10.1117/12.2613173
[2022] Automated Extraction of Cerebral Infarction Region in Head MR Image Using Pseudo Cerebral Infarction Image by CycleGAN
DOI: https://doi.org/10.3390/app12010489
[2022] Prognosis Prediction of Lung Cancer Patients Using CT Images: Feature Extraction by Convolutional Neural Network and Prediction by Machine Learning
DOI: https://doi.org/10.6009/jjrt.2022-1224
[2021] Automated Detection of Gastric Cancer by Retrospective Endoscopic Image Dataset Using U-Net R-CNN
DOI: https://doi.org/10.3390/app112311275
[2021] Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning
DOI: https://doi.org/10.1038/s41598-021-99246-4
[2021] Estimating subjective evaluation of low-contrast resolution using convolutional neural networks
DOI: https://doi.org/10.1007/s13246-021-01062-7
[2021] Analysis of Idiopathic Interstitial Pneumonia in CT Images Using 3D U-Net
DOI: https://doi.org/10.11318/mii.38.126
[2021] Computer-Aided Diagnosis of Medical Images in the Deep Learning Era
DOI: https://doi.org/10.2493/jjspe.87.671
[2021] Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network
DOI: https://doi.org/10.3389/frai.2021.694815
[2021] Performance comparison of multiple deep CNN methods for multiple organ detection in CT images
[2021] Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images
[2021] Development of a Fully Automated Glioma-Grading Pipeline Using Post-Contrast T1-Weighted Images Combined with Cloud-Based 3D Convolutional Neural Network
DOI: https://doi.org/10.3390/app11115118
[2021] Fundamental study of automatic segmentation of skeletal muscle regions on whole body CT images based on a 3D DeepCNN
[2021] Relationship between number of annotations and accuracy in segmentation of the erector spinae muscle using Bayesian U-Net in torso CT images
DOI: https://doi.org/10.1117/12.2590780
[2021] Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle
DOI: https://doi.org/10.1259/dmfr.20200611
[2021] Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN
[2021] Tooth recognition and classification using multi-task learning and post-processing in dental panoramic radiographs
DOI: https://doi.org/10.1117/12.2582046
[2021] A hybrid approach for mammary gland segmentation on CT images by embedding visual explanations from a deep learning classifier into a Bayesian inference
DOI: https://doi.org/10.1117/12.2581924
[2021] Mutual stain conversion between Giemsa and Papanicolaou in cytological images using cycle generative adversarial network
DOI: https://doi.org/10.1016/j.heliyon.2021.e06331
[2021] AI-based Medical Image Diagnosis Support
[2021] Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification
DOI: https://doi.org/10.1007/s11548-021-02308-1
[2021] Automatic Segmentation of Supraspinatus Muscle via Bone-Based Localization in Torso Computed Tomography Images Using U-Net
DOI: https://doi.org/10.1109/access.2021.3127565
[2021] Exploring the current status of the development and practical application of AI-CAD in the field of breast cancer screening
DOI: https://doi.org/10.3804/jjabcs.30.121
[2021] Development of Detection Method of Cow Parturition Sign by Using AI Image Processing
DOI: https://doi.org/10.1299/jsmehokkaido.2021.58.1125

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（51 件）

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