Leevi Annala
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View article: Postharvest Dynamics of Photosynthesis in Fresh‐Cut Lettuce
Postharvest Dynamics of Photosynthesis in Fresh‐Cut Lettuce Open
Increasing the availability of fresh vegetables and reducing food waste are essential for healthy and sustainable production. However, fresh‐cut vegetables such as lettuce ( Lactuca sativa L.) often experience rapid quality loss after harv…
View article: Distinct post-harvest deterioration pathways caused by light vs dark storage of fresh-cut lettuce packed in modified atmosphere.
Distinct post-harvest deterioration pathways caused by light vs dark storage of fresh-cut lettuce packed in modified atmosphere. Open
View article: Generating synthetic past and future states of Knee Osteoarthritis radiographs using Cycle-Consistent Generative Adversarial Neural Networks
Generating synthetic past and future states of Knee Osteoarthritis radiographs using Cycle-Consistent Generative Adversarial Neural Networks Open
Knee Osteoarthritis (KOA), a leading cause of disability worldwide, is challenging to detect early due to subtle radiographic indicators. Diverse, extensive datasets are needed but are challenging to compile because of privacy, data collec…
View article: Non-targeted LC-MS metabolomics reveal shifts from wound-induced enzymatic browning to lignification during extended storage of fresh-cut lettuce in modified atmosphere packaging
Non-targeted LC-MS metabolomics reveal shifts from wound-induced enzymatic browning to lignification during extended storage of fresh-cut lettuce in modified atmosphere packaging Open
Modified Atmosphere Packaging (MAP) is a conventional method used to prolong the shelf-life of fresh-cut vegetables, including lettuce. However, MAP-stored lettuce remains perishable, and its deterioration mechanism is not fully understood…
View article: Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning
Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning Open
View article: Discriminating basal cell carcinoma and Bowen's disease from benign skin lesions with a 3D hyperspectral imaging system and convolutional neural networks
Discriminating basal cell carcinoma and Bowen's disease from benign skin lesions with a 3D hyperspectral imaging system and convolutional neural networks Open
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View article: Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis
Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis Open
Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, compre…
View article: Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification
Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification Open
Knee-Joint Osteoarthritis (KOA) is a prevalent cause of global disability and is inherently complex to diagnose due to its subtle radiographic markers and individualized progression. One promising classification avenue involves applying de…
View article: Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis
Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis Open
Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, compre…
View article: Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks
Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks Open
Knee Osteoarthritis (KOA), a leading cause of disability worldwide, is challenging to detect early due to subtle radiographic indicators. Diverse, extensive datasets are needed but are challenging to compile because of privacy, data collec…
View article: Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning Open
In routine colorectal cancer management, histologic samples stained with hematoxylin and eosin are commonly used. Nonetheless, their potential for defining objective biomarkers for patient stratification and treatment selection is still be…
View article: An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis
An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis Open
Efficient and scalable early diagnostic methods for knee osteoarthritis are desired due to the disease’s prevalence. The current automatic methods for detecting osteoarthritis using plain radiographs struggle to identify the subjects with …
View article: FPI Based Hyperspectral Imager for the Complex Surfaces—Calibration, Illumination and Applications
FPI Based Hyperspectral Imager for the Complex Surfaces—Calibration, Illumination and Applications Open
Hyperspectral imaging (HSI) applications for biomedical imaging and dermatological applications have been recently under research interest. Medical HSI applications are non-invasive methods with high spatial and spectral resolution. HS ima…
View article: Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks
Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks Open
Several optical imaging techniques have been developed to ease the burden of skin cancer disease on our health care system. Hyperspectral images can be used to identify biological tissues by their diffuse reflected spectra. In this second …
View article: Method for Automatic Assessment of Spiking of Tibial Tubercles Associated with Knee Osteoarthritis
Method for Automatic Assessment of Spiking of Tibial Tubercles Associated with Knee Osteoarthritis Open
View article: Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion
Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion Open
In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: mel…
View article: MINIMAL LEARNING MACHINE IN ANOMALY DETECTION FROM HYPERSPECTRAL IMAGES
MINIMAL LEARNING MACHINE IN ANOMALY DETECTION FROM HYPERSPECTRAL IMAGES Open
Anomaly detection from hyperspectral data needs computationally efficient methods to process the data when the data gathering platform is a drone or a cube satellite. In this study, we introduce a minimal learning machine for hyperspectral…
View article: Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network
Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network Open
In this study we develop a proof of concept of using generative adversarial neural networks in hyperspectral skin cancer imagery production. Generative adversarial neural network is a neural network, where two neural networks compete. The …
View article: Hexyl aminolevulinate, 5‐aminolevulinic acid nanoemulsion and methyl aminolevulinate in photodynamic therapy of non‐aggressive basal cell carcinomas: A non‐sponsored, randomized, prospective and double‐blinded trial
Hexyl aminolevulinate, 5‐aminolevulinic acid nanoemulsion and methyl aminolevulinate in photodynamic therapy of non‐aggressive basal cell carcinomas: A non‐sponsored, randomized, prospective and double‐blinded trial Open
Background In the photodynamic therapy (PDT) of non‐aggressive basal cell carcinomas (BCCs), 5‐aminolevulinic acid nanoemulsion (BF‐200ALA) has shown non‐inferior efficacy when compared with methyl aminolevulinate (MAL), a widely used phot…
View article: Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion
Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion Open
Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models i…
View article: 115 Hexylaminolevulinate and Aminolevulinic acid Nanoemulsion have Similar Tolerability, Initial Efficacy and Cosmetic Outcome as Methylaminolevulinate in Photodynamic Therapy of Basal Cell Carcinoma in a Prospective Randomized Double-blinded Trial
115 Hexylaminolevulinate and Aminolevulinic acid Nanoemulsion have Similar Tolerability, Initial Efficacy and Cosmetic Outcome as Methylaminolevulinate in Photodynamic Therapy of Basal Cell Carcinoma in a Prospective Randomized Double-blinded Trial Open
View article: Convolutional neural networks in skin cancer detection using spatial and spectral domain
Convolutional neural networks in skin cancer detection using spatial and spectral domain Open
Skin cancers are world wide deathly health problem, where significant life and cost savings could be achieved if detection of cancer can be done in early phase. Hypespectral imaging is prominent tool for non-invasive screening. In this stu…
View article: PRACTICAL APPROACH FOR HYPERSPECTRAL IMAGE PROCESSING IN PYTHON
PRACTICAL APPROACH FOR HYPERSPECTRAL IMAGE PROCESSING IN PYTHON Open
Python is a very popular programming language among data scientists around the world. Python can also be used in hyperspectral data analysis. There are some toolboxes designed for spectral imaging, such as Spectral Python and HyperSpy, but…
View article: Fourier'n sarjan suppeneminen
Fourier'n sarjan suppeneminen Open
Funktion f Fourier'n sarja on ääretön funktiosarja, jossa summataan funktiosta f ja summausindeksistä n riippuvia Fourier'n kertoimia funktiolla e^{inx} kerrottuna. Fourier'n sarjoja käytetään esimerkiksi osittaisdifferentiaaliyhtälöiden r…