Aktuelle Jobs im Zusammenhang mit Master/Bachelor Thesis: Foundation Model Empowered Computational Pathology Images Analysis - Munich, Bayern - Technical University of Munich
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Munich, Bayern, Deutschland Technical University of Munich VollzeitMaster/Bachelor Thesis OpportunityWe are seeking a highly motivated student to work on a Master/Bachelor thesis project in the field of computational pathology image analysis.Project OverviewThe goal of this project is to evaluate the performance of foundation models on downstream pathology image tasks. Foundation models are general-purpose models...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitMaster/Bachelor Thesis OpportunityWe are seeking a highly motivated student to work on a Master/Bachelor thesis project in the field of computational pathology image analysis.Project OverviewThe goal of this project is to evaluate the performance of foundation models on downstream pathology image tasks. Foundation models are general-purpose models...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitMaster/Bachelor Thesis OpportunityFoundation Model Empowered Computational Pathology Images AnalysisWe are seeking a highly motivated research assistant to join our team at the Technical University of Munich and contribute to the evaluation of foundation model performances on downstream pathology image tasks.Artificial intelligence has the potential to...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitMaster/Bachelor Thesis OpportunityFoundation Model Empowered Computational Pathology Images AnalysisWe are seeking a highly motivated research assistant to join our team at the Technical University of Munich and contribute to the evaluation of foundation model performances on downstream pathology image tasks.Artificial intelligence has the potential to...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitExciting Research Opportunity:A unique chance to work on the cutting-edge field of Computational Pathology Images Analysis with a focus on evaluating foundation model performances for cancer diagnosis and treatment. This position offers the opportunity to contribute to precision medicine and decision support systems using artificial intelligence.Key...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitExciting Research Opportunity:A unique chance to work on the cutting-edge field of Computational Pathology Images Analysis with a focus on evaluating foundation model performances for cancer diagnosis and treatment. This position offers the opportunity to contribute to precision medicine and decision support systems using artificial intelligence.Key...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Opportunity: Evaluating Foundation Model Performance in Pathology Image AnalysisAs a research institution, the Technical University of Munich is seeking a highly motivated individual to contribute to a Master/Bachelor thesis project focused on evaluating the performance of foundation models in downstream pathology image tasks.About the ProjectThe project...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Opportunity: Evaluating Foundation Model Performance in Pathology Image AnalysisAs a research institution, the Technical University of Munich is seeking a highly motivated individual to contribute to a Master/Bachelor thesis project focused on evaluating the performance of foundation models in downstream pathology image tasks.About the ProjectThe project...
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Munich, Bayern, Deutschland Infineon Technologies VollzeitAbout the RoleWe are seeking a highly motivated and skilled master student to join our team at Infineon Technologies. As a master thesis student, you will have the opportunity to work on a cutting-edge project that combines foundation models and AI for radar sensors.Key ResponsibilitiesConduct literature reviews and stay up-to-date with the latest...
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Munich, Bayern, Deutschland Infineon Technologies VollzeitAbout the RoleWe are seeking a highly motivated and skilled student to join our team at Infineon Technologies. As a Master's thesis student, you will have the opportunity to work on a cutting-edge project that combines foundation models and AI for radar sensors.Key ResponsibilitiesLifelong Learning: Conduct literature reviews and stay up-to-date with the...
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Munich, Bayern, Deutschland Infineon Technologies VollzeitThesis OverviewJoin us in exploring cutting-edge research in the field of radar technology through your master's thesis. This opportunity focuses on foundation models specifically designed for consumer-based radar sensors.Key ResponsibilitiesContinuous Learning: Engage in comprehensive literature reviews to remain informed about the latest developments in...
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Berufsbegleitender Master in Sicherheitslösungen
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Munich, Bayern, Deutschland Knowledge Foundation @ Reutlingen University VollzeitÜber die Knowledge Foundation @ Reutlingen University Interessiert an einer fortlaufenden Ausbildung und einer nachhaltigen Karriere? Die Knowledge Foundation an der Hochschule Reutlingen bietet dir individuell zugeschnittene berufsbegleitende Bachelor- und Masterprogramme. Als gemeinnützige Stiftung kombinieren wir Theorie und Praxis optimal, um deinen...
Master/Bachelor Thesis: Foundation Model Empowered Computational Pathology Images Analysis
vor 3 Monaten
Foundation Model Empowered Computational Pathology Images Analysis
15.05., Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
A Master/Bachelor thesis opportunity to evaluate foundation model performances on downstreaming pathology image tasks.
Artificial intelligence (AI) can potentially transform cancer diagnosis and treatment by analyzing pathology images for precision medicine and decision support systems.
Pathology's clinical practice usually encompasses tasks like tumor classification, segmentation, subtyping, grading, staging, and whole slide matching.Although AI demonstrates promise in many pathological tasks, it still faces challenges in generalization and addressing rare diseases due to limited training data availability.
[CDL+24, VBC+23]Here, a foundation model may contribute to this challenge.
A foundation Model refers to a general- propose model pre-trained on typically unlabeled datasets, subsequently fine-tuned to apply to diverse downstream tasks [DFW+24].
To compare the proposed foundation model with previous state-of-the- art methods, we want to evaluate the performance of patch/slide level classification and segmentation tasks.
Tasks:
- Paper reading and literature review
- Evaluate proprietary and public foundation models on public datasets
- Finetune the models to obtain the best performance
Publicly available models:
UNI [CDL+24], cTransPath [WYZ+22], Virchow [VBC+23], RudolfV [DFW+24], MSSM [CKF+23]
- Datasets for classification and detection: MHIST [WSR+ 21], PCAM [VLW+ 18], NCT-CRC [KHM18], CAMELYON16/17 [BGM+18]
Datasets for segmentation:
SegPath [KOS+23], PanNuke [GAKB+19]
Requirements:
Basic knowledge in at least one of the following areas:
- Pytorch and deep learning knowledge
- Medical image analysis
Supervision and Contact:
Prof. Peter Schueffler and Jingsong Liu will be the supervisors.
